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From here you can shape the world.

Research is an integral aspect of the College, and our research degrees equip graduates with the skills, knowledge, confidence and connections to kick start, or further, their careers.

The College of Sciences and Engineering offers a diverse range of research degrees in each of our disciplines, from hard science to creative design.

We recognise the importance of academic and non-academic careers, and work closely with industry to cross-skill our graduates with real-world experience.

Our research degrees may see you travelling to Antarctica, testing cutting-edge technology in local micro-breweries, or designing new naval ships or sustainable housing. Choose a research degree from the University of Tasmania’s College of Sciences and Engineering.

Research Degrees at the University of Tasmania
Find out about entry requirements, application procedures, scholarships, and finding a supervisor

Looking for undergraduate options?
Visit the 'Find a Course' page to explore our study options

Available Research Degree Projects

A research degree candidate may develop their own research project in collaboration with their supervisor or apply for one of our currently available projects below:

Applicants who are interested a specific project should first contact the supervisor listed and then find out more about our Entry Requirements, Scholarships if relevant, and then Apply Now.

Closing Date

31st December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

The shipping industry plays an important role in today's global economy as it is a facilitation mechanism for more than 90% of the world trade. However only in recent history thousands of incidents and accidents involving ships have resulted in loss of life and property—not to mention environmental damages of different magnitudes.

It is estimated that over 80% of all maritime mishaps are presently attributable to human element and onboard human actions. However, from early in their career, mariners have to attend formal learning environment to gain skills and knowledge that they need to practice safely onboard ships. Yet, little is known about how this learning applied practically on the job, i.e., what is transferred from one setting to another and how this transfer occurs.

Through the investigation of the mariners in their formal learning environment (marine colleges) and in their workplace (on board ships), it is the utmost purpose of the present ethnographic study to understand the implications of this discussion in reducing the shipping accidents. The database will be composed of videotapes, field notes, interviews and documents. The implications of this study are relevant to workplace learning research in general and to maritime education and safe shipping practice in particular.

Eligibility
  • The scholarship is open to Australian (domestic) candidates and to International candidates
  • The PhD must be undertaken on a full‐time basis
  • Applicants must already have been awarded a first class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills
  • Applicants from variety of disciplines are eligible to apply

See the following web page for entry requirements: http://www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria

Applicants with maritime background who are familiar with qualitative research are preferred.

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Reza Emad for further information.

Closing Date

31st December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

The main focus of the project is on sustainable development of cruise/passenger terminals for cruise ships within a seaport without compromising the port's operational functions. While the three aspects of sustainable development i.e. social, economic and environmental will be covered, the project will also consider potential differences between a cruise/passenger terminal and cargo terminal within a seaport.

Given resource constraints, it will identify potential areas where resource sharing and saving can be made without compromising the operational requirements, service quality and competitiveness of the two types of terminals within a seaport. In addition, the project will consider both types of cruise terminals, i.e. dedicated terminals and multipurposed terminals, and the potential application of automation and new technologies for optimal investment and use of resources. It is expected that the project will involve participation from port management and stakeholders.

Eligibility
  • Students are expected to have a background in business economics and at least basic knowledge in statistical/econometric analysis
  • Applicants from variety of disciplines are eligible to apply

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • Students are expected to be familiar with statistical/econometric analysis software such as SPSS, EViews, RATS, R
  • Experience in the maritime sector is desirable
  • Students without previous maritime knowledge are expected to attend JNB521 Maritime Economics for Managers as an elective for the Graduate Certificate in Research program
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact Owen Nguyen through email: o.nguyen@utas.edu.au for further information.

Closing Date

31st December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

Until now electricity generation in Constructed Wetlands (CWs) integrated with Microbial Fuel Cell for coastal areas is very low. The improvement in electricity generation or electron flow to the conductive material can be applied for real time applications such as pollutant sensing. In addition, transfer of electron to conductive material can also enhance the treatment of wastewater in CW.  It is reported by several studies with bioelectrochemical cells such as MFC, a large fraction of electron transfers to the methanogenic bacteria for the production of methane gas. This is the reason why the production rate of methane gas is high in CW-MFC systems whereas electricity generation is low. In this project, we are trying to inhibit methanogenic bacteria so that the entire or maximum electron goes directly to the conductive material. With extracting more electrons from the microbes, electricity generation of CW-MFC can be enhanced. This strategy can also be beneficial for producing greenhouse gases of low potential.

So, the objectives of this PhD research are:

  1. Enhance the electricity generation in MFCs by inhibiting the methanogenic activities
  2. Investigating the potential of MFC for real time applications such as pollution sensing
Eligibility

Essential Skills

  • The potential candidate for this PhD project should have previous working experience in measurement and analysis of different contaminants in environmental laboratory

Desirable Skills

  • Having previous experience in application of different machine learning techniques is an extra advantage in selecting the PhD candidate

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Vikram Garaniya for further information.

Closing Date

31st December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

Global concerns about air pollution and human's health are continuously forcing manufacturers to improve the performance of engines and reduce emissions. This has been more focused on the diesel engines since the conventional CI engine sustains with high nitrogen oxides (NOx) and particulate matter (PM) emissions.

One solution to this is replacing conventional fossil fuels by alternative fuels. Among the alternative fuels, ethanol and methanol have been considered as suitable diesel fuel replacement. Methanol is a clean-burning fuel that produces fewer smog-causing emissions such as nitrogen oxides (NOx), sulphur oxides (SOx) and particulate matter, and can improve air quality and related human health issues. Methanol can be produced from not only natural gas but also renewable sources such as biomass and recycled carbon dioxide.

This project aims to investigate the effect of methanol fumigation on the performance, operation and combustion emission of diesel engines.

Eligibility
  • The scholarship is open to domestic (Australian and New Zealand) and international candidate
  • The degree must be undertaken on a full-time basis
  • Applicants must have already been awarded a First-Class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills
  • Applicants must be the first author of at least two published (or accepted) high-ranked journal papers

Desirable skills/experience

  • Good knowledge of diesel engines, fuel injection system and fumigation
  • Hands-on in experimental work specially engines
  • Computer programming skills
  • Good knowledge of LabVIEW programming
  • Experience in Data Acquisition & Signal Processing
  • Good understanding of thermodynamics and fluid mechanics specifically in the framework of high-pressure and compressible flows

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Javad Mehr for further information.

Closing Date

31st December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

This project involves development of an experimental programme based on the investigation of the flow associated with a gas jet in a liquid cross-flow. The injection of gas through discrete holes has been proposed as a novel method for drag reduction of marine vehicles and it has been a topic of interest in a several recent publications. Within this project the influence of the flow parameters on the physics of the resulting flow, as well as practicability of its application, will be investigated in a water tunnel.

The ability to independently and precisely control the parameters of interest, such as momentum flux ratio, cross-flow velocity, boundary layer thickness to gas outlet diameter ratio and free-stream pressure will be used to determine the resulting gas cavity topology for the different flow modes and provide an advice on optimal flow conditions for the prototype realization of a drag-reduction system.

The basic understanding of the underlying flow physics will be further assessed through the analysis of the flow unsteady characteristics. In addition, due to its canonical character, the examined flow is well suited for numerical modelling, and therefore the obtained experimental dataset could be of an archival value for a future comparison with computational results.

Eligibility

The following eligibility criteria apply to this project:

  • Bachelor degree in engineering

Applicants with the following skills will rank highly:

  • Experience in experimental fluid mechanics
  • Advanced data analysis skills
For More Information

Please contact Dr Bryce Pearce for more information.

Closing Date

31st December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

Supply chains are frequently subject to disruptions resulting in growing supply chain volatility. Supply chain volatility not only affects businesses but consumers as well. Due to the perishability of agri-food products, the consequences of disruptions become much severer than manufactured products. Supply chain resilience, as the collective ability of supply chain participants to deal with disruptions and develop strategies for rapid recovery to ensure sufficient and stable supplies, has attracted much research interest in recent years. This research aims to improve resilience in agri-food supply chains.

Eligibility
  • Basic understanding of supply chain management and operations management
  • Good communication skill
  • Good analytical skills
  • Work or research experience in supply chain management and operations management
  • Knowledge about agri-food supply chains

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Jiangang Fei for further information.

Closing Date

31st December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

The objective of the research project is to qualify and quantify the effects of water backing on the response of thin-walled metallic structures subjected to impact loading. By conducting experimental tests and numerical simulations a validated method for analysing the response of water-backed, metallic structures involved in underwater collisions, and where water is able to escape (vent) through pre-existing openings, is to be established.

Eligibility

Essential Skills

  • Australian Citizenship (MANDATORY)
  • B.Eng. degree in Naval Architecture
  • Experience in planning and conducting research into the non-linear behaviour of naval structures
  • Demonstrated ability to work effectively in a team environment with limited supervision
  • Highly developed organisational skills
  • Highly developed written and oral communication skills

Desirable Skills

  • Demonstrated experience in the use of LS-DYNA
  • Previous research collaborations with DST group
  • Scientific publications/technical reports in the specific area of naval structures

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Roberto Ojeda Rabanal for further information.

Closing Date

31st December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

In recent years, the advent of technology especially in the field of artificial intelligence (AI) brings about the possibility of developing fully autonomous systems. Recently, with the introduction of commercially sensible solutions, design and operation of unmanned and autonomous cargo and passenger ships are gaining momentum. Soon this would persuade shipping companies to add autonomous ships into their fleet. Therefore, this research is timely as autonomous shipping is not a promise to be delivered in the future, but a reality which has already started.

This research will conduct an extensive investigation to identify the education and training requirements for seafarers who will operate the autonomous ships in the near future. The findings of this research will provide guidelines and a recommendatory framework which can be used by the International Maritime Organisation (IMO) and the maritime regulators to revise training needs towards mentoring seafarers and equipping them with the expertise required.

Eligibility
  • The scholarship is open to Australian (domestic) candidates and to International candidates
  • The PhD must be undertaken on a full‐time basis
  • Applicants must already have been awarded a first class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills
  • Applicants from any disciplines are eligible to apply

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria

Applicants with maritime background who are familiar with qualitative research are preferred

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Reza Emad for further information.

Closing Date

30th December 2019*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

Hyperthermia (HT) is an intended artificial increase of temperature over the temperature of human body within the range of 39 ⸰C and 46 ⸰C and acts on cells and tissues e.g. cancer cells and tissues. The application of clinical hyperthermia can be either divided as a whole-body, regional or local. The heating techniques are often characterized as superficial or deep or as external and internal. Hyperthermia technique also improves the efficiency of chemotherapy and radiotherapy. The combination of hyperthermia with radiotherapy or chemotherapy has been demonstrated in treatment of certain cancers e.g. breast cancer, cervical and bladder cancer, rectal cancer, prostate cancer, head and neck cancer, superficial tumours, lung and stomach cancer and pancreas and liver metastases. However, the knowledge of the heat transfer process within the blood perfused tissues and the temperature distribution in tissues and organs are essential for an effective thermal therapy such as hyperthermia cancer treatment.

The rise in temperature of tissues during heating is largely dependent on the influx of heat from the external heat source and also on the efflux of heat through dissipation by the circulating blood. Therefore, preferential heating and damage of tumour can be expected only if heat is preferentially delivered to the tumour or if heat dissipation by blood flow is slower in the tumours than in the surrounding normal tissues. Blood flow also affects the response of tissue to radiation. It should be pointed out that the supply and distribution of drugs in tissues are also largely dependent on the blood perfusion in the tissues. It is then apparent that blood flow plays the central role in determining the effectiveness of hyperthermia used alone or in conjunction with radiotherapy or chemotherapy.

From the computational mechanics point of view, exploring the temperature distribution in HT involves multiple subjects, e.g. convection-diffusion, porous media, rheology, fluid-structure interaction (FSI) and the determination of optimal HT conditions requires a comprehensive model and numerical method that has the ability to take all the mentioned factors into account and simulate. A mesoscopic method based on Lattice Boltzmann method (LBM) will be used in this study.

Eligibility
  • Applicants from a variety of disciplines are eligible to apply

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • Programming, Computational Fluid Dynamics (CFD), Mathematical Modelling, LBM, Fortran, Fluid Structure Interaction (FSI), Rheology, heat and mass transfer, Porous media
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Gholamreza Kefayati for further information.

Closing Date

31st December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

A combined consideration of design and operation aspects can effectively be used to achieve a sufficient safety level. In application, this principle requires further investigation to be provided for the preparation of operational measures, consistent with the vulnerability assessment and for the specification of direct stability assessment.

The Second Generation of Intact Stability Criteria (SGISC) in near future requires implementation of the operational limitations and operational guidance in specific areas, routes or season to prevent five stability failure modes: 1. pure loss of stability; 2. parametric roll; 3. surf riding/broaching; 4. dead ship condition; and 5. excessive acceleration. Limitations imposed on the operation, limit the loading capacity, the intended sailing routes and the desired speed. However, that is not received favourably by ship owners and operators.

The objectives of this project are:

1. Developing an algorithm to identify aforesaid stability failure modes, using real-time sea state prediction,

2. Maximising the operational capacity by minimising the adverse effect of operational limitations imposed by SGISC.

3. Implement this understanding into a state-of-the-art numerical simulation

Eligibility
  • Indepth understanding of ship's hydrodynamics
  • Experience with CFD codes/software
  • Applicants from variety of disciplines are eligible to apply

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • Basic understanding of signal processing techniques
  • Exposure to ship model testing
  • Ship sailing experience
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Hossein Enshaei for further information.

Closing Date

31st December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

Fishing vessels are particularly vulnerable in terms of stability accidents and have historically experienced numerous stability related cases mainly due to the lack of regulatory framework, but more related to inappropriate response of inexperienced crew especially when encountering some challenging situations in fishing activities. IMO's second generation intact stability criteria will soon include three levels of assessments with regard to ships' dynamic stability in addition to calm water criteria given in Intact Stability Code 2008. These factors will have a far-reaching influence in terms of fishing vessels' design and operation.

As the unprecedented change of stability rules are underway, it is expected that certain limitations on fishing vessels' operation will be rolled out. The vulnerability assessment to be carried out under five failure modes identified in SGISC (pure loss of stability, parametric roll, surf riding/broaching, dead ship condition, and excessive acceleration), either through numerical analysis or model test, and the initial design including some loading condition (such as mean draught, trim angle, metacentric height, and natural roll period) might not fully comply with the criteria. Without compromising the design standard, the ship's operation must fulfil the regulations in terms of operation consistent with the initial design. These might limit the operation in specific navigational area and routes considering seasonal weather conditions, or some activities such as fishing and shipboard transfer to maintain sufficient safety level. The questions this project need to focus on are: What kind of insufficiency in design will trigger those limitations? What will those limitations be? What and how to develop guidance to assist skippers to minimise those operational limitations?

Considering the influence of IMO second generation stability criteria in terms of fishing vessels' operation, a range of studying pertaining to vessel's stability and warning system has been developed, but the aforementioned limitations in terms of fishing vessels' operation and how to resolve them are not investigated. This research intends to identify the possible limitations imposed by the SGISC to fishing vessels and in particular towards operational perspectives and subsequently, possible solutions.

Eligibility
  • Essential:  In-depth understanding of ship's hydrodynamics and hydrostatics
  • Essential:  Experience with CFD codes/software
  • Desirable:  Basic understanding of signal processing techniques
  • Desirable:  Exposure to ship model testing

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Hossein Enshaei for further information.

Closing Date

31st December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

Global concerns to reduce emissions are continuously forcing manufacturers to improve the efficiency of engines by optimising fuel injection systems and combustion process. Despite the wide use of injectors, the key physics of the fuel injection processes are not yet fully understood imposing a significant challenge for the development of more efficient injection system and combustion process. The primary atomisation of the liquid fuel jet occurs in the region close to the nozzle exit, influences secondary atomisation, spray dynamics, air-fuel mixture quality, and ultimately the entire combustion process. Complex and concurrent physics associated with primary and secondary atomisation of liquid fuel induce more constraints for researchers to experimentally characterise the effect of phenomena such as swirl flow, flow separation, cavitation, and turbulence on spray dynamics.  

These limitations can be tackled by the means of numerical modellings which provide a clearer understanding of spray dynamics involving transition from liquid jets to fine droplets. Numerical models which are used in the design of fuel injectors are subjected to further developments through the inclusion of recent research findings. Experimental tests conducted within the AMC's constant volume high-pressure spray chamber provide a qualitative and quantitative database to evaluate and validate numerical modelling results. The present work focuses on processes in the nozzle and the first several nozzle diameters after the nozzle exit of a single-hole solid cone injector.

High fidelity numerical model can be utilised to characterise detailed evolution of fuel spray from liquid jets to dispersed small scale droplets. The use of high-resolution numerical scheme and flux reconstruction algorithm can deal with highly turbulent flow phenomenon that occur with a great variation in spatial and time scales. Highly accurate results predicted by the developed high-resolution numerical methods can act as an indispensable supplement to existing experimental observations and measurements, which contribute to the optimisation/development of next generation low emission and high thermal efficiency combustion engines.

Eligibility
  • The project is open to domestic (Australian and New Zealand) and international candidates
  • The degree must be undertaken on a full-time basis
  • Applicants must have already been awarded a First-Class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills
  • Applicants must be the first author of at least two published (or accepted) high-ranked journal papers

Essential Skills/Experience/Requirements

  • Good understanding of fluid mechanics specifically in the framework of high-pressure and compressible flows
  • Good understanding of CFD theories including pressure-velocity coupling, heat and mass transfer, multiscale-modelling in the framework of compressible flow
  • Experience in OpenFOAM (experience in structured mesh generation and high order numberical scheme are preferred)

Desirable Skills/Experience

  • Experience in high pressure fuel injection system
  • Experience in developing explicit/implicit method for all March number flows
  • Experience in data processing using Python
  • Experience in C++
  • Ability to conduct spray chamber testing and work to assemble, disassemble and commission new injection systems

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Javad Mehr for further information.

Closing Date

31st December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

Current offshore renewable wind energy practice requires the installation of large fixed and floating structures offshore. The mooring system is one of the important components for a floating offshore wind turbine (FOWT). Accurate assessment of the mooring lines is fundamental both in normal/operating and survival conditions. Recent accidents due to extreme weather events have highlighted the risk that improper design of floating structures can have on the structure’s integrity and the environment. Studies shall be performed to investigate the mooring system effect on the overall performance of an FOWT structure. Moreover, the investigation of the importance of the interconnection between the FWOT and the mooring line is therefore crucial.

The goal of this project proposal is to fill this gap in the knowledge by conducting a PhD investigation into the effects of the mooring systems on the operability and survivability of an FWOT structure. Both numerical and experimental approaches are considered in this project to investigate the role of the mooring systems. The numerical approach considers the development of the NewWave and Computational Fluid Dynamics (CFD) techniques due to their compatibility with the modelling of extreme waves. The study aims at establishing efficient numerical modelling techniques for dynamic motion response and structural assessment, including fatigue analysis due to extreme weather conditions.

The experimental investigation considers a systematic series of scale model test at AMC testing facilities that will be used for the validation of the numerical models.

The following eligibility criteria apply to this scholarship:
  • The scholarship is open to Australian and New Zealand (domestic) candidates and to International candidates.
  • Research must be undertaken on a full-time basis.
  • Applicants must already have been awarded a first-class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector.
  • Applicants must be able to demonstrate strong research and analytical skills.
  • Strong understanding of wave-structure interaction problems
  • Experience with CFD codes
Knowledge and skills that will rank highly include:
  • Degree-level undergraduate education in mathematics or a related subject.
  • Experience with open source numerical codes such as OpenFoam and FAST
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact the Dr Nagi Abdussamie for further information.

Closing Date

31st December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

Ocean acidification is a process whereby carbon dioxide (CO2), mainly from the atmosphere, dissolves in seawater and form carbonic acid. This weak acid triggers changes in the seawater chemistry that lead to the decrease of ocean's pH. It is estimated that oceans absorb about 30% per cent of CO2 produced by humans. As such, CO2 emissions reduction is probably the only sustainable way to minimise this acidification process. However, the present trend of CO2 release to atmosphere does not support this effort. According to the Third IMO Green House Gas Study 2014, the mid‐range forecasted scenarios project a potential increase of CO2 emissions from international shipping between 50% to 250% by year 2050. The magnitude of this increment depends on the aggressiveness of world economic growth as well as energy developments.  

In line with the effort of Goal 14 (Life Below Water) of the 2030 Agenda for Sustainable Development, target 14.3 to "Minimize and address the impacts of ocean acidification, including through enhanced scientific cooperation at all levels", the goal of this research is to establish potential port policy that can effectively contribute to the reduction of carbon dioxide emissions from maritime activities within port limits through efficient port operations.

Eligibility
  • Maritime transport, port development, environmental management

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • Quantitative and qualitative analysis, shipping industry experience
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Vera Zhang for further information.

Closing Date

31st December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

The project involves development of novel prediction and control algorithms for parametric roll motion. The mechanism to cause parametric roll, especially the resonance phenomenon, is investigated and the parametric roll motion in head and follow sea waves is predicted by CFD modelling approach and validated by experimental data using the model scaled contained vessel of which the height of metacentre can be adjusted. Once the parametric roll motion can be predicted, a roll reduction control algorithm will be proposed and tested.

Methodology

The project is going to use a combined numerical and experimental methods to analyze the collected data. As for simulations, the anti-roll systems (anti-roll tubes and stable fins) will design digital versions including 2D and 3D ones by technical software (Auto CAD, Rhino, Inventor). Hoorn vessel will be developed an intensive 3D model from the previous version which based on my design in the master course at AMC by Maxsurf and Rhino software packages. The 3D Hoorn model will be tested and measured the parametric rolling in several different head sea conditions by ANSYS Workbench software packages. In term of experiments, the project will make a real model of the anti-roll systems and will install on Hoorn model. Then, Hoorn model will be tested at the towing tank, AMC with the different head sea conditions. The data will be collected and validated between numerical and experimental outcomes.

Eligibility
  • Skills and experiences required include surface vessel dynamics/hydrodynamics, motion in waves, CFD techniques for investigation of hydrodynamics, C/C++ at code developer level, MATLAB simulation for control algorithm design, hardware and software development for control algorithms
  • Technical report and scientific writing skill for publication is a must
  • Applicants from variety of disciplines are eligible to apply

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • Priority will be given to those who got the first-class honours for his/her bachelor degree and master by coursework course with research components and/or publications
  • Experience in electric/electronic wiring
  • Some experience in conducting experiments using towing tank, model test basin or model scaled board
  • Experience in collaborative research/publication with the existing AMC staff is also a plus
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Hung Nguyen for further information.

Closing Date

31st December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

Worldwide thrust to utilise clean energy sources is driving the development of electrically powered transportation systems. "Battery powered electric ferries" is a promising new advancement in this trend with the world's first being deployed in 2015, in Norway. Even though such ferries do not burn fossil fuels on-board and thus eliminate emissions in waters, batteries require grid power for charging resulting in a shift of emissions from one place to the other, rather than achieving zero emissions. Therefore, a real zero emission solution should have an on-board charging solution as well.

The most promising and practically achievable solution that meet this requirement is the battery-fuel cell hybrid power systems which is self-sustained and "totally green" in current terminology. Nevertheless, the engineering challenge of this solution is associated with the slow response and complex operation of fuel cells which require advanced power management strategies to operate on more than seven variables including current density, anode humidification temperature, cathode humidification temperature, pressures, oxygen flow rate, air flow rate and active surface area to maintain maximum efficiency.

The power management optimization strategies developed so far operate on a few variables listed above while keeping/assuming the others constant. A comprehensive optimization study which takes all the fuel cell variables, and also the load profile of an electric ferry, into account is not reported so far. Therefore, the aims of this project are to develop a laboratory prototype of a battery-fuel cell hybrid power system, test the behaviour of the fuel cell in various operating conditions and develop an artificial intelligence (AI) based power management optimization method targeting electric ferry applications.

Eligibility
  • Optimization algorithms, Power electronics, Fuel Cells
  • Applicants from variety of disciplines are eligible to apply

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria

Ship power systems

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Shantha Jayasinghe Arachchillage for further information.

Closing Date

31st December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

Underwater vehicles are required to operate in surfaced or near free surface conditions due to communication, launch and recovery, or mission requirements. It is generally accepted that the free surface (including waves) induces a higher resistance on the vehicle, and thus, reducing its endurance. However, the free surface effects on the vehicle's manoeuvrability and propulsion are yet to be established, let alone the design of control systems that allow autonomous operations under the influence of the free surface.

The aim of this research project is to develop an understanding of the manoeuvrability of an underwater vehicle under the influence of the free surface. The project will rely heavily on numerical methods to identify and model the free surface effects on the vehicle. This is of fundamental interest in contributing to design of the propulsion and control systems, operational procedures, and hydrodynamic modifications in order to minimise the adverse effects of the vehicle and free surface interaction.

Eligibility
  • Experience in either experiment or Computational Fluid Dynamics based research
  • Experience with HPC systems
  • Experience with MATLAB and Maxsurf, or equivalent
  • AutoCAD and lnvertor, or equivalent
  • First author of published (or accepted) journal papers

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Zhi Leong for further information.

Closing Date

31st December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

Nowadays, companies do not compete against each other but their supply chains. The service quality management is regarded as important tool in supply chains in gaining the competitive advantages in terms of achieving the maximum customer value while maintaining the lowest cost. Maritime transport is an essential section in the global supply chain system and is necessary to incorporate to the service quality management in the global supply chains. A maritime supply chain contains series of shipping activities concerning transporting cargoes from point of origin to the point of the destination. As such, service quality is a key factor in the utility function in the competitive maritime supply chain management. The service quality also has the impact on the pricing strategy for the maritime supply chain management. The research aims to provide reference for policy makers and industrial practitioners in maritime supply chains in terms of service quality management and gaining the competitive advantages.

Eligibility
  • Operations Research, supply chain management, data analytics, maritime business
  • Industrial experience in supply chain management and shipping-related areas

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Vera Zhang for further information.

Closing Date

31st December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

The Tasmanian Government has developed a food security strategy to ensure affordable, healthy food for Tasmanians . The Tasmania population (0.515 million people) is less than 10% of the Singaporean population (5.61 million people). Yet, its land area (68,401 km2) is about 95 times that of Singapore (721.5 km2). While the availability of land and natural resources is a great advantage for Tasmania, low population density goes against it especially in terms of the supply and distribution costs, as well as social and economic connectivity. This affects the efficacy of the State's food security strategy. 

Study objective and research questions:

The project's main objective is to study the role, operations and performance of the Tasmanian food supply network to ensure food security for Tasmanians. The study aims to answer the following research questions (RQ):

  • RQ1: How can food supply network in Tasmania be mapped?
  • RQ2: What are the roles of the stakeholders in the food security in Tasmania?
  • RQ3: How well is the food supply network connected in Tasmania?
  • RQ4: How can the food supply network in Tasmania be evaluated?

Research method:

The project aims to conduct network analysis of the food supply network in Tasmania to improve the efficiency and resilience of food security for the population, especially vulnerable people and families of with social and economic conditions in Tasmania. The study will involve the following:

  • Food supply network mapping for Tasmania
  • Calculation of network measures including density, degree distribution, degree centrality, betweenness centrality, closeness centrality, eigenvector centrality, cluster coefficient, assortativity
  • Network analysis using the exponential/random network models to evaluate the effect of various factor on network formation and connectivity
  • Stakeholder survey to study the issues and obstacles facing the food supply chain network and food security in Tasmania

How is this study expected to support food security for vulnerable Tasmanians?

RQ1 seeks to develop and gain an understanding of the structure of the food supply network in Tasmania. Based on this, RQ2 and RQ3 seek further insights into the role of and relationship between stakeholders in the food supply network respectively. RQ4 aims to gain a better understanding of the issues and improve the efficiency of the food supply network in Tasmania.

Eligibility
  • Students are expected to be familiar with statistical/econometric analysis software such as SPSS, EViews, RATS, and R
  • Work experience in business management, international organisations, the government or logistics sector is desirable
  • Applicants must have research experience through in their previous study programs and background in logistics and supply chain management, and, or economics with at least basic knowledge in statistical/econometric analysis.

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Oanh Nguyen for further information.

Closing Date

31st January 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

Although Australia is one of largest island countries on earth, with 85% of the population living within 50km of the coast, the potential benefits of coastal shipping has not been achieved. Coastal shipping is not only the safest and greenest mode of transport, but can arguably provide 50% cost savings of transport cost and even more, for sufficiently large shipments. Despite the constraints of over dimensional cargo, fragile cargoes and increase interstate freight rate associated with road transportation yet close to 90% of interstate cargoes are moved by rail and road.

This project aims to investigate the obstacles and constraints on Australian coastal shipping and seeks to promote this sector. To achieve the objective, the project consists of three parts. The first part estimates the potential coastal freight task. The second part identifies and evaluates the effect of various factors on the cost and efficiency of intermodal coastal transport, especially the moving of cargoes from road to coastal shipping in the country to its potential capacity. The study considers various obstacles and constraints, including but not limited to demand-related demographic characteristics, distribution of shipment size; supply-related coastal fleet and port infrastructure; the institutional environment e.g. policy; and other factors e.g. technology and sustainable development. The third part aims at the developing of a strategic plan for Australian coastal shipping development.

Eligibility
  • Applicants must be able to demonstrate strong research and analytical skills
  • Applicants must already have been awarded a First Class Honours degree or hold equivalent qualifications (e.g. master's degree) or relevant and substantial research experience in an appropriate sector
  • Applicants must have knowledge and skills in the following areas: Shipping operations; international trade; and freight operations

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Peter Fanam for further information.

Closing Date

31st December 2021*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

Women are generally underrepresented in the STEM fields and in entrepreneurial ventures linked to high technology domains. This project will use the latest psychological and sociological research to propose a framework to facilitate that more girls and young women enter and remain in those STEM and entrepreneurial fields where they are significantly underrepresented. The framework will be designed to actively encourage creativity, inventiveness, and global awareness in harmony with the development of a socially responsible and sustainable entrepreneurial mindset. Strategies will be designed, tested and fine-tuned in diverse settings within the secondary and tertiary education sectors, and within the emerging Tasmanian STEM-based entrepreneurial ecosystem, respectively.

Eligibility

The following eligibility criteria apply to this project:

  • The project is open to domestic and International candidates
  • The PhD must be undertaken on a full-time basis
  • Applicants must already have been awarded a first class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills

Candidates from a variety of disciplinary backgrounds are encouraged to apply.

More Information

Please contact Dr Bernardo A. León de la Barra for more information.

Closing Date

31 December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

The Boundary Element Method (BEM) is a computationally efficient method for full wave-based computational acoustics simulations, even so it requires significant computational resources for shorter wavelengths. However the most interesting problems are at moderate wavelengths where there is significant diffraction. A particularly interesting class of problems involves coupling between the acoustic medium and its boundaries (fluid-structure interaction). Examples include sound transmission through panels, absorption by curtains near walls, porous surfaces.

This project aims to extend the computational capabilities of the acoustic BEM, with regard to structural coupling, porous surfaces, higher order methods, the effect of corners and edges, etc. These developments can then be applied to problems such as those mentioned above. Through collaboration or co-supervision with colleagues in University of Sydney the project may have access to high class experimental facilities for validation of the models.

Eligibility

The following eligibility criteria apply to this project:

  • The project is open to domestic (Australian and New Zealand) and international candidates
  • The Research Higher Degree must be undertaken on a full-time basis
  • Applicants must already have been awarded a First Class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills

Candidates from a variety of disciplinary backgrounds are encouraged to apply. Knowledge and skills that will be ranked highly include:

  • Applied maths, physics or any branch of engineering with an interest in mathematics or computation
  • Programming skills

More Information

Please contact Dr Damien Holloway for more information.

Closing Date

31 December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

This project aims to control the voltage and frequency of the electrical power system by employing Distributed Energy Resources (DERs). By changing the types of generation units from conventional to non-nonconventional, the penetration level of DERs including PVs, Electric Vehicles, Batteries, partially and fully rated wind energy conversion systems, thermal variable loads etc. are increasing in the grid. As the solid-state devices, the DERs do not contribute in inertial response if there is any contingency event in the network. Therefore, the power system is fragile, and the frequency control needs special considerations.

In this project, the candidate will work on innovative control approaches of the DERs to contribute in the primary and secondary responses after any event occurs. The candidate also considers new methods to coordinate DERs in voltage and frequency response in a power system with moderate and high penetration of DERs. In that case, the candidate is also expected to study about scheduling and dispatch of resources in a way that to ensure operation within network constrains all the times.

Eligibility
  • Applicants must already have been awarded a first-class Honours degree or hold equivalent qualifications or relevant and substantial research experience in Electrical Engineering
  • Applicants must have excellent writing and communication skills (Please see the English Test requirements, TOEFL or IELTS tests, for PhD candidates on the website of the university).
    Experience with modelling and simulation tools.

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Candidates from the following disciplines are eligible to apply
  • Electrical Engineering
  • Power Engineering (power electronics and/or power systems)
Selection Criteria
  • The scholarship is open to Australian and New Zealand (domestic) candidates and to International candidates.
  • Research must be undertaken on a full-time basis.
    Applicants must have Master of Science degree in Electrical Engineering (probably, Honours BEng Degree First Class, or Master's by Research, or equivalent).
  • Applicants must be able to demonstrate strong research and analytical skills.
  • Applicants must be able to work with others as part of a project team and be willing to take direction.
  • Proficiency with modern programming languages such as PSCAD, Python, and MATLAB.
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Evan Franklin and Behzad Naderi for further information.

Closing Date

31 December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

This project is aimed to develop a three-dimensional hybrid continuous-discontinuous method for studying dynamic fracture of rock under impact and cyclic loads and arching behaviour of resultant irregular-shaped deformable and further breakable fragments.

The project will address:

  1. How can the transition of rock from continua to discontinua during fracture be modelled?
  2. How can the hybrid method be accelerated using heterogeneous CPU and GPU parallel computing technique for large-scale real time modelling?
  3. How can the hybrid method to consider dependence of rock strength on loading rates and how can heterogeneity be implemented to simulate rock fracture progressive process?
  4. How can the hybrid method be calibrated against well-known dynamic/cyclic rock fracture experiments?
  5. How can the hybrid method be applied to model rock fragmentations in rock boring & blast and rock mass instability in surface and underground excavations.

The outcome of this project will improve the rock mass excavation / fragmentation efficiency in rock cutting, drilling, crushing and blasting, and improve the rock mass stability in surface and underground excavation in mining, tunnelling and civil engineering. This project will improve our access to natural resources, especially deep or offshore natural resources, and safeguard our existing and new infrastructures.

Eligibility

The following eligibility criteria apply to this project:

  • The project is open to Australian (domestic) and International candidates
  • The PhD must be undertaken on a full-time basis
  • Applicants must already have been awarded a first class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills

Candidates from a variety of disciplinary backgrounds are encouraged to apply. Knowledge and skills that will be ranked highly include:

  • Continuous or discontinuous mechanics
  • Programming skills (preferably C/C++ and Python)
  • Computer graphics

More Information

Please contact Dr Hong Y Liu for more information.

Closing Date

31 December 2022*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

Hobart based shipbuilder, INCAT, builds some of the world's largest and fastest high speed aluminium catamaran ferries. Critical to the success of INCAT's vessels has been their ability to operate at high speed in heavy seas, and INCAT's position as worldwide leaders in their market niche has been assisted over more than two decades by ongoing collaborative research with the University of Tasmania's School of Engineering. A long term goal is to optimise the ship structure, minimising weight without compromising integrity at critical locations. Past recent research in this area has sought to quantify the loads exerted during a slam (severe wave impact) event. Structural vibrations following a slam (known as "whipping") are known to significantly modify the internal forces as determined by a quasi static analysis, and their effect has been partially quantified through testing of a 2.5m hydroelastic model, full scale strain measurements, and dynamic finite element analysis. The current project aims to extend this work by relating the asymmetric slams and bending moments to the asymmetric design loads within the superstructure connecting the two hulls (referred to as "pitch connecting moment" and "split loads") whilst further quantifying the motions response in oblique sea directions. This has the capacity to influence international design codes and to provide a more rational framework for the determination of design loads in similar ships worldwide.

Eligibility

The following eligibility criteria apply to this project:

  • The project is open to Australian (domestic) and International candidates.
  • The PhD must be undertaken on a full-time basis
  • Applicants must already have been awarded a first class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills
  • Applicants must meet English requirements, or be able to do so before commencement

Candidates from a variety of disciplinary backgrounds are encouraged to apply. Knowledge and skills that will be ranked highly include:

  • Experience in shipping industry
  • Model testing experience in towing tanks or model test basins
  • Marine engineering or naval architecture academic background
  • Experience in use of Computational Fluid Mechanics and/or Finite Element Analysis

More Information

Please contact Dr Jason Lavroff for more information.

Closing Date

31st December 2021*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

This Ph.D. research will focus in obtaining an improved theoretical understanding of the time- and frequency-domain properties of fractional-order linear-time invariant single-input single-output control systems. Thus, the proposed research work will be conducted simultaneously in both the time- and frequency-domains and seek to more closely relate several fundamental concepts in each domain to others in the counterpart domain. In particular, this research project will seek to:

  1. Establish new connections between the zero-pole patterns of fractional-order systems and the time-domain features of their impulse and step responses;
  2. Establish new connections between the zero-pole patterns of fractional-order systems and the behaviour of the frequency response magnitude and phase characteristics of those systems;
  3. Develop new parameter identification methods for fractional-order systems from knowledge of their impulse and step responses;
  4. Develop new parameter identification methods for fractional-order systems from knowledge of their frequency-domain responses;
  5. Propose new fractional-order controller design methodologies for the closed-loop control of fractional-order plants that make use of the results obtained in parts a) to d).

Some of the fundamental time- and frequency-domain concepts which will be instrumental in progressing the proposed research include: extrema in the time-domain step responses, pole-zero patterns, and frequency response magnitude and phase characteristics.

Eligibility
  • The applicant should have a number of publications indexed in the Web of Science
  • Citations of these publications as recorded by the Web of Science would provide the applicant with additional merit points in this competitive process
  • Applicants from the following disciplines are eligible to apply: Engineering, Mathematics and Science 

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Bernardo Leon de la Barra for further information.

Closing Date

1 November 2019 

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

This PhD project will develop appropriate techno-economic models for Tasmania's energy system, including its interaction with the NEM, to analyse a wide range of likely future scenarios and their implications.

The proposed project introduces several areas of novelty and originality. The innovations include joint engineering and economic modelling of generation and storage technology characteristics and their role in meeting short-term power system requirements as well as their role in balancing energy supply and demand and their implications for energy markets. Included in the analysis of future scenarios is the significant transition to or increase in flexible loads such as electrified transport, hydrogen synthesis for export markets, and for direct export of energy over possible future additional interconnects.

This project will be co-supervised by members of Future Energy in the School of Engineering and the Tasmanian School of Business and Economics and will also be supported by Future Energy co-directors and other members.

Eligibility

Applicants from the following disciplines are eligible to apply:

  • Applicants must either have Master of Science degree in Electrical Engineering (Honours BEng Degree First Class, or Master's by Research, or equivalent) or a Master's research degree in Economics AND an undergraduate Bachelor of Science degree in Engineering (or equivalent).

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • Applicants must be able to demonstrate strong research and analytical skills
  • Applicants must be able to work with others as part of a project team and be willing to take direction
  • Proficiency with modern programming languages such as PSCAD, Python, and MATLAB
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Evan Franklin for further information.

Closing Date

26th June 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

For 5G systems, massive MIMO (multiple antennas) are deployed.  When fading is fast, Doppler shift also tend to be present, and channel models are complex under these conditions.  This project aims to develop models that are computationally efficient, as well as realistic for the simulation of communication systems deployed over such channels.  The aim is to develop computer code that will provide realistic scenario testing under complex communication systems simulation conditions.

Eligibility
  • First class honours in engineering, mathematics or physics
  • Ability to work independently
  • Strong computer programming skills and proficiency

Applicants from the following disciplines are eligible to apply:

  • Engineering, physics, mathematics/statistics

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, JC Olivier for further information.

Closing Date

13th October 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

Background
Self-driving vehicles are one of the most significant technical advances bringing profound changes to our life styles. Many trials haven been rolled out to practice during the last few years, which are demonstrating promising outcomes. The technical feasibility has been proven and national roadmaps of intelligent highway system, aka smart road, have been developed in many countries including USA, China, Australia, and European countries.
Various communication networks such as internet, IoT sensor networks, 5G wireless communication networks, and intra-vehicle networks, etc., play a pivotal role in smart traffic system to support future road users such as self-driving vehicles. However, existing communication networks for generic purpose, so far, cannot provide appropriate level of performance guarantee for safe driving.

Research questions
The nature of highway system is the appropriate and distributed sharing of road among all users with their own objectives and subject to own set of constraints. Such a system has a special safety requirement since each road user has its own control without coordination nor consensus. Various factors such as sensors and physical signals, communication, motion and control, human reaction and decision making, machine processing and decision making, etc., make it extremely difficult to meet every road user's needs as well as to maintain road safety.      
Due to its special features, it is desirable to analyse the communication needs and design an appropriate communication system for that rather than adopt a general-purpose communication system for use.  

Methods
The following aspects are considered for the analysis, design, and development of a novel communication system architecture and protocols:

  • Analysis of road users' communication, control, and mechanical features with respect to collision avoidance and driving planning
  • Use a minimalist approach to design a layered communication network
  • Analysis and design of appropriate network protocols 
  • Analysis and comparison of the proposed communication network model with existing models

Expected outcomes
As the outcome of the proposed research, we expect to build a minimalist communication network model. Such model is considered necessary to any smart road to facilitate intelligent road sharing among all self-driving vehicles and ordinary human driving vehicles, with or without sophisticated communication and control systems.
A simulation prototype model will be developed to illustrate the proposed method and demonstrate its efficiency.
The research outcomes will be communicated in 3~5 technical papers to seek other experts' feedbacks.

Eligibility
  • Strongly self-motivated in research
  • Communication networks and protocol design
  • Dynamical system and control
  • Computing and simulation

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Danchi Jiang for further information.

Closing Date

31 December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

We have developed an automated blood oxygen level controller for preterm infants that has recently been undergoing clinical trials. This PhD project aims to make further advances by investigating enhancements to our current oxygen control algorithm and technology.

Potential research areas include development of advanced algorithms and predictive methods to enhance the control algorithm, for example by using intelligent pattern recognition including neural network techniques and our extensive clinical signal database.

Eligibility

The following eligibility criteria apply to this project:

  • The project is open to Australian (domestic) and International candidates
  • The PhD must be undertaken on a full-time basis
  • Applicants must already have been awarded a first class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills
  • Applicants must meet English requirements, or be able to do so before commencement

Candidates from a variety of disciplinary backgrounds are encouraged to apply, including Biomedical, Mechatronic and Electrical/Electronics Engineering.

More Information

Please contact Dr Tim Gale for more information.

Closing Date

31st December 2021*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

The State of Tasmania exhibits some of the lowest levels of educational attainment among Australia’s states and territories. This project will use the latest educational, psychological and sociological research to design practical research- and evidence-based strategies to enthuse Tasmanian children to fully engage during their schooling years. The strategies will collectively target and inclusively align the many stakeholders (parents, guardians, teachers, peers, career counsellors, etc.) that play a role in influencing children’s aspirations for a better and brighter future. The strategies will be designed, tested, evaluated, and fine-tuned in diverse formal and informal educational settings. The project will make use of trans-disciplinary and integrative learning approaches with a strong focus on bridging the gap between the STEM and STEAM domains.

Eligibility

The following eligibility criteria apply to this project:

  • The project is open to domestic and International candidates
  • The PhD must be undertaken on a full-time basis
  • Applicants must already have been awarded a first class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills

Candidates from a variety of disciplinary backgrounds are encouraged to apply.

More Information

Please contact Dr Bernardo A. León de la Barra for more information.

Closing Date

1 November 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

Australia is the world leader in the design and manufacture of state of the art large aluminium ferries, and Incat Australia Pty Ltd (Incat) is one of the dominant builders of these vessels in the international market. Research is required to increase reliability, seakeeping and passenger comfort of Incat vessels by improving vessel design, systems and performance in relation to the key operational conditions of vessel speed and random wave characteristics. To satisfy these overarching design requirements, this Project aims to:

  1. Establish an ongoing ship monitoring system to remotely measure vessel motions and structural loads, exploiting cloud technology to obtain real time-data on vessel performance.
  2. Improve structural efficiency by analysing large datasets at full-scale using sophisticated statistical methods to more accurately predict the peak wave loads acting on the vessel.
  3. Improve passenger comfort by extensively investigating and interpreting the motions response of the vessel and ride control activity under commercial operating conditions.
  4. Develop a “Smart” semi-autonomous interface to provide on-board seakeeping guidance to the operator in moderate and rough seas to increase ship safety, vessel longevity and improve passenger comfort.

Eligibility

Please refer to the Entry Requirements for a Doctor of Philosophy degree.

The following eligibility criteria apply to this project:

  • The project is open to domestic (Australian and New Zealand) and international candidates;
  • The degree must be undertaken on a full-time basis;
  • Applicants must already have been awarded a First Class Honours or Upper Second Class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector;
  • Applicants must be able to demonstrate strong research and analytical skills.

Candidates from a variety of disciplinary backgrounds are encouraged to apply. Knowledge and skills that will be ranked highly include:

  • Background skills and experience in Marine Engineering or Naval Architecture specific to high-speed craft;
  • Knowledge and  experience in stochastic process modeling;
  • Well-developed skills in programming, data analyses or optimisation techniques.

Applicants MUST include a one-page cover letter expressing their interest in the project based on their background experience whilst also addressing their suitability for the project.

Successful PhD applicants with a background in mechanical engineering, civil, marine engineering or naval architecture will be based at the University of Tasmania in Hobart.

Successful PhD applicants with a background in applied statistics will be based at a partner institute in Sydney. Those interested in applying for the position in Sydney must directly contact Dr Babak Shabani to discuss the application process.

More Information

Please contact Dr Babak Shabani for more information prior to applying.

Closing Date

26th June 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

5G networks have gone to market, and the telecommunications industry is currently deploying 5G networks globally.   5G networks deploy a few key technologies that differentiate it from 3G and 4G.  First it makes use of low density parity check codes (LDPC), as well as the new polar codes.  Secondly it makes use of massive parallel multiple sensor arrays both at the receiver and transmitter (MIMO), and thirdly it uses highly efficient orthogonal frequency domain multiplexing (OFDM) to mitigate channel dispersion and other channel impairments.  There are a range of issues still not well understood and not yet fully optimised that will feed into these key technologies.  This project aims to apply the theory of estimation and detection, approximation theory and graph theory to mitigate these issues.

Eligibility
  • Strong ability and proficiency in applied mathematics
  • Highly developed proficiency in developing computer software and performing computer simulation
  • Ability to work independently

Applicants from the following disciplines are eligible to apply:

  • Engineering, physics, statistics and mathematics

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, JC Olivier for further information.

Closing Date

31 December 2021*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

Currently, there are numerous methods and techniques aimed at extending the service life or repair existing structural elements. Bolting or welding of steel plates, applying CFRP and external prestressed tendons are the most common among these techniques. Nevertheless, these techniques have limitations and disadvantages such as increasing the self-weight of the structure, introducing stress concentration, reducing the fatigue lie of the structure or high labour and materials cost. Among the recently developed repairing and upgrading methods is the so-called Local Post-Tensioning (LPT) which increases the stiffness and the load carrying capacity of the structural member through adding reinforcing steel bars to a segment of the beam.

This project will be investigating the use of innovative strengthening and upgrading techniques (or their combinations) in order to extend the service life and restore the load carrying capacity of various steel, concrete or composite structural elements. The candidate will be using nonlinear Finite Element Analysis, experiments, or both to validate theoretical findings.

Eligibility

Please refer to the Entry Requirements for a Doctor of Philosophy degree.

Candidates from a variety of disciplinary backgrounds are encouraged to apply. Knowledge and skills that will be ranked highly include:

  • Computational Mechanics
  • Civil (Structural  Engineering)

More Information

Please contact Dr Assaad Taoum to discuss prior to applying.

Closing Date

31 December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

Some forms of structural failure can be quite abrupt (e.g. buckling) whereas others may exhibit early warning signs. I have an interest in understanding and predicting both types of failure, and in measures to mitigate them. In the former category I am particularly interested in moderately thin walled shells, the effect of irregular geometries (e.g. cutouts, defects) and in local reinforcement. These could be studied by nonlinear Finite Element Analysis, or experimentally. In the latter category there is a growing body of knowledge on Structural Health Monitoring (SHM) using sensors and ambient excitations (such as wind loading) to detect changes in a structure. Wind turbine towers and blades are examples of application of these two areas.

Eligibility

The following eligibility criteria apply to this project:

  • The scholarship is open to domestic (Australian and New Zealand) and international candidates
  • The Research Higher Degree must be undertaken on a full-time basis
  • Applicants must already have been awarded a First Class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills

Candidates from a variety of disciplinary backgrounds are encouraged to apply. Knowledge and skills that will be ranked highly include:

  • A background in one or more of:
    • civil/structural engineering
    • computational mechanics
    • applied mathematics
    • signal processing
  • Programming skills

More Information

Please contact Dr Damien Holloway for more information.

Closing Date

31 December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

Micro-grids encounter high renewable energy penetrations early, given their small size. The inherent variability is managed with enabling technologies such as energy storage. This proposal aims to eliminate the cost and complexity of energy storage, via adoption of synthetic storage. Synthetic storage allows for improved renewable penetration and reduced diesel fuel consumption. The approach investigates replacement of fixed speed diesel assets with variable speed diesel technology, for improved generator flexibility, response and efficiency. The expected project outcomes include both a reduction in cost and complexity for high renewable energy penetration micro-grids. Project benefits extend to reduced emissions and improved reliability. The research improves accessibility and affordability of renewable energy based micro-grids, addressing the key barriers of cost and complexity.  The outcomes include the ability of existing micro-grid configurations to transition from low to high levels of renewable energy penetration without a reliance on energy storage technologies. The benefits in simplifying the micro-grid framework include, accelerated uptake and utilisation of renewable energy, grid consolidation and grid decarbonisation, the impacts of which extend to cleaner, cheaper energy provision.

Eligibility

Please refer to the Entry Requirements for a Doctor of Philosophy degree.

Candidates from a variety of disciplinary backgrounds are encouraged to apply. Knowledge and skills that will be ranked highly include:

  • Hybrid diesel power system simulation;
  • Wind turbine generator simulation;
  • Power converter configuration and simulation.

More Information

Please contact Michael Negnevitsky for more information.

Closing Date

1st May 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

IMAS with collaborators at the University of the Sunshine Coast was recently awarded an Industrial Transformation Research Hub (ITRH) by the Australian Research Council (ARC) to undertake research on Sustainable Onshore Lobster Aquaculture. The program will develop unique aquaculture systems for the cost effective and sustainable production of hatchery reared lobster juveniles. To support the development mass-culture methods for juvenile lobsters, the ARC Hub is supporting a Ph.D. projects on the molecular nutrition of tropical (Panulirus ornatus) and slipper (Thenus australiensis) lobster. Nutrition is a key research focus of the research Hub with the aim of the development of effective and efficient formulated diets that meet the nutritional requirement of the lobsters at
differing stages of development, from larvae to market sized adults. Nutritional assessment of lobsters is complicated due to their rigid exoskeleton, fluctuating moisture retention levels associated with the moult cycle and complex feeding behaviours.

This research project will focus on broadening the understanding of the spiny and slipper lobster’s response to dietary components and aims to identify molecular biomarkers for nutrition status. A nutrigenomic approach, combining bioinformatics and functional assays will be used to identify biomarkers to assess the nutritional status of spiny lobsters in culture to inform better feed formulations, efficient feeding practices and select breeding lines that respond to optimised diets. The project will involve a collaborative partnership between lobster aquaculture and nutrition researchers at the IMAS and crustacean molecular expertise at the University of the Sunshine Coast. These projects provide the opportunity to join a large and well-funded research program at the cutting edge of lobster aquaculture research and will provide training in a wide range of advance analytical and molecular techniques.

Eligibility
  • Research experience or undergraduate training in aquaculture, nutrition, animal behaviour
  • Demonstrated experience in aquaculture growth or feeding experiments and molecular analytical analysis
  • Keen interest in and desire for a career in aquaculture and/or marine ecology

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • Graduates with a strong academic record (e.g. BSc Hons, MSc or equivalent qualifications demonstrated by publication record) in molecular biology/ecology or similar
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Quinn Fitzgibbon for further information.

Closing Date

31 October 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

Marine phytoplankton drive global climate, form the base of marine food-webs, and can cause ecosystem disruption and collapse due to harmful algal blooms. In the ocean, phytoplankton interact with bacterial symbionts - their microbiomeswhich lab studies show are essential for their growth. However, we currently know almost nothing about phytoplankton microbiomes in natural marine systems, or how they interact to enhance the growth and toxicity of harmful algal blooms.

A PhD research opportunity is open for a talented graduate to investigate the diversity and function of natural phytoplankton microbiome, and how they enhance growth and toxicity of harmful dinoflagellates. The project combines microfluidics and single-cell genomics and microbial community profiling using NGS sequencing to characterise microbiome membership, structure and function directly from phytoplankton blooms. Using lab model co-culture techniques, the project will also determine how microbiomes are recruited by toxic phytoplankton, and examine their role in algal physiology and toxin production.

The project is supervised by Drs Christopher Bolch and Andrew Bridle and will be based in the Institute for Marine and Antarctic Studies (IMAS) at the University of Tasmania in Launceston. The project also includes collaboration with researchers in the Scotland (Scottish Association for Marine Science) and the USA (New York University).

Essential skills/experience

Graduates with a strong academic record in Biological or Health Sciences and a background/experience in molecular biology and/or microbiology are encouraged to apply. Applications for this PhD position are open to domestic and international students, provided the latter are competitive when applying for fee waiver scholarships.

Desirable skills/experience

Candidates with strong computing skills and experience of collecting and analysing next-generation-sequencing (NGS) data will be viewed favourably.

Assessment criteria

Applicants will be assessed and ranked according to the quality of their basis for entry research degree and institution, prior peer reviewed publications, academic awards, project-specific skills, training or relevant industry experience, referee’s reports and supervisory support.

Contact for more information

Please contact Christopher Bolch at chris.bolch@utas.edu.au for more information.

Closing Date

30th October 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

This project will focus on defining optimum protein quality by determining essential amino acid requirements for juvenile topical and slipper lobsters. Emphasis will be placed on understanding the importance of between meal changes in tissue amino acid supply, balance and fluxes into growth or metabolism. The research will combine established and cutting-edge methods to understand amino acid metabolism at multiple levels and specifically related to how well amino acid requirements are being met or not met.

Classic factorial modelling of amino acid requirements will establish the base experimental approach. Advanced respirometry, combining oxygen consumption with carbon dioxide and nitrogenous excretion, will determine changes in substrate utilization within 24-h cycles and incorporate between meal changes in amino acid supply to tissues. Protein turnover will be measured because it underlies growth, is strongly influenced by dietary protein quality (amino acid balance) and has high energy costs. Stable isotope tracking to the level of specific amino acids will be developed and provide further detail on metabolic pathways and specific amino acid retention efficiencies (e.g. Barreto-Curiel et al 2019). Targeted transcriptomics will then be used to understand how gene regulation relates to differences in amino acid fluxes. The research will ultimately help explain mechanisms that underpin differences in whole-animal growth efficiency and provide a detailed basis for feed formulation.

Eligibility
  • Graduates with a strong academic record (e.g. BSc Hons, MSc or equivalent qualifications demonstrated by publication record) in aquaculture, ecology, marine biology, molecular biology and zoology or similar
  • Research experience or undergraduate training in aquaculture, physiology, nutrition, animal behaviour and/or molecular biology (project specific)
  • Demonstrated experience in aquaculture growth or feeding experiments and laboratory analytical analysis. Keen interest in and desire for a career in aquaculture and/or marine ecology

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • Applicants will be assessed and ranked according to the quality of their basis for entry research degree and institution, prior peer reviewed publications, academic awards, project-specific skills, training or relevant industry experience, referee’s reports and supervisory support
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Quinn Fitzgibbon for further information.

Closing Date

17th June 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

The Southern Ocean is projected to experience significant changes to its physical state in future years due to anthropogenic climate change. These changes are, in turn, likely to have significant impacts on the marine ecosystems in the region.

This project will explore the link between variability in the assessed icefish population in the Australian EEZ on the Kergeulen Plateau and observed environmental variability, before extending this work using climate projections to give an estimate of the impacts of future climate scenarios on this (and other) species over the coming century.

Eligibility
  • Strong analytical skills, including expertise with a suitable high-level analysis software package (eg Matlab or R)
  • Understanding of the functioning and drivers of marine ecosystems
  • Applicants from variety of disciplines are eligible to apply

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • Knowledge of Southern Ocean marine ecosystems
  • Experience in statistical modelling
  • Knowledge of the impact of marine heat waves on ecosystems
  • Applicants will be assessed and ranked according to the quality of their basis for entry research degree and institution, prior peer reviewed publications, academic awards, project-specific skills, training or relevant industry experience, referee’s reports and supervisory support
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Stuart Corney for further information.

Closing Date

2nd November 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

This PhD will investigate the feasibility of using trans-generational immunity as a health management strategy in lobster aquaculture. Trans-generational immune priming (TGIP) is the ability to impart immune responses from the parent’s immunological experience to enhance the immune responses of their offspring. The incorporation of into a health management strategy has the potential to control diseases in crustacean aquaculture. Therefore, before the potential benefit of these phenomena can be realised it is important that the life stage‐specific host–pathogen interactions are understood in the context of the specific disease to be managed.

The test species will be the slipper lobster (SL) Thenus australiensis, culture of this species is in its infancy and to date very few diseases have impacted any stage of the culture. Despite this apparent relative freedom from disease several microorganisms have been identified as potential disease-causing agents in this species. The putative pathogen Aquimarina sp. is believed to be responsible for a condition termed ‘white leg’ disease and has been identified as a health priority. When present this bacterial pathogen results in significant mortality of SL phyllosoma.
Research will be performed to characterise the ontogenic immune response of the SL and investigate the host-pathogen interaction during ‘white leg’ disease both within and across generations.

Eligibility
  • Graduates with a strong academic record (e.g. BSc Hons, MSc or equivalent qualifications demonstrated by publication record) in aquaculture, ecology, marine biology, molecular biology and zoology or similar
  • Applicants will be assessed and ranked according to the quality of their basis for entry research degree and institution, prior peer reviewed publications, academic awards, project-specific skills, training or relevant industry experience, referee’s reports and supervisory support
  • Research experience or undergraduate training in aquaculture, physiology, nutrition, animal behaviour and/or molecular biology (project specific)
  • Demonstrated experience in aquaculture growth or feeding experiments and laboratory analytical analysis. Keen interest in and desire for a career in aquaculture and/or marine ecology

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Quinn Fitzgibbon for further information.

Closing Date

28th April 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

Oceanic fronts are sharp gradients between adjoining water masses and serve as mixing boundaries between water with different features (Belkin, 2009). Frontal processes, across a variety of temporal and spatial scales, operate in concert to drive coastal ecosystem structure and function. Climate change can have a profound effect on front formation leading to changes, which have important consequences for biodiversity. Furthermore, changes in concentration of one or a few 'leverage species' may result in sweeping communitylevel changes raising concerns about fishery sustainability, ecosystem health, and the maintenance of global biogeochemical cycles (Woodson and Litvin, 2015) in coastal regions. Conflicting studies show scenarios of both increasing and decreasing frontal probability due to climate change. It has been shown that there can a reduction in frontal frequency during warming anomalies. However, long term decadal-scale records show increasing trends of frontal activity. Regardless, the trend in front probability has not been shown to be globally uniform.

The first aim of this research is to comprehensively verify global trends of frontal frequency within global marine hotspots and resolve fine-scale frontal features (using new high-resolution satellite imagery) to assess patterns and trends in regional scale hotspot areas. Furthermore, given the variety of scales at which fronts operate, it is critically important to understand frontal activity at depth integrated submesoscales. As fronts play a role in driving local biological activity, unravelling the role of submesoscale dynamics on phytoplankton abundance and diversity is important for quantifying global influence on marine ecosystems.

The second aim of this research is to develop adaptive sampling algorithms for autonomous underwater vehicles (AUVs) to characterize submesoscale fronts across depth integrated measurements. When coupled with high resolution satellite measurements (above), unprecedented scales of frontal processes can be visualized.

The following eligibility criteria apply to this project:
  • The project is open to Australian and New Zealand (domestic) candidates and to International candidates.
  • Research must be undertaken on a full-time basis.
  • Applicants must already have been awarded a first-class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector. See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree
  • Applicants must be able to demonstrate strong research and analytical skills.
  • Applicants must have good oral and verbal communication skills.
Candidates from the a variety of disciplinary backgrounds are encouraged to apply. Knowledge and skills that will be ranked highly include:
  • Biological oceanography/marine ecology background
  • Experience with programming for statistics and image processing (e.g. MATLAB)
  • Strong quantitative skills
  • Knowledge of remote sensing algorithm development and satellite image processing
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Andy Fischer, for further information.

Closing Date

1st September 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

Aquaculture is an important industry that is developing rapidly in temperate coastal regions worldwide. While soft-sediment impacts have been relatively well described, there is much less know regarding trophic interactions and how marine food webs may uptake and assimilate additional organic carbon loadings. As aquaculture continues to expand, a greater understanding of these trophic linkages is vital for sustainable development.

Sponges are sessile filter-feeders that are a ubiquitous feature on temperate reefs worldwide. They can be sensitive to organic enrichment, with increases in sedimentation potentially smothering sponges and limiting their capacity to feed and respire effectively. However, they also have the capacity to remove both particulate organic carbon (POC) and dissolved organic carbon (DOC) from the water column. With a high filtering capacity and association with diverse microbial communities, they are a key link in carbon flow from pelagic to benthic systems and a potential pathway for mitigating aquaculture waste into marine ecosystems. While the role of sponge communities in POC and DOC cycling in tropical reef systems is acknowledged, the capacity for this in temperate reef systems is less well understood. This PhD will explore the assimilatory capacity of temperate reef sponge communities and their potential interaction with finfish aquaculture.

Eligibility
  • Applicants should have a first class Honours degree or equivalent qualifications in biological science or human impacts research, with demonstrated experience in the key research areas. Scientific Diver, or similar relevant qualifications or the ability to obtain these are also required
  • Demonstrated experience in laboratory based respiration or metabolism experiments would be beneficial, along with knowledge of temperate reef ecosystems or experience in natural resource management

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • Applicants will be assessed and ranked according to the quality of their basis for entry research degree and institution, prior peer reviewed publications, academic awards, project-specific skills, training or relevant industry experience, referee's reports and supervisory support
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Camille White for further information.

Closing Date

2nd November 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

This project will examine the effect of behaviour and social structures on growth, survival and feeding from the 1st juvenile stage lobsters to market size. High mortality can occur in the early juvenile rearing of P. ornatus. One of the contributing factors is the tendency for cannibalism, particularly in the early juvenile stages. This behavioural trait will be one of the focal points for this study. As spiny lobsters have complex social structures further aspects of their culture performance is very likely to be influence by behaviour. Social structures are likely to influence feeding (disparity and timing) and growth (disparity) with size, gender, stocking density, shelter availability, tank configuration and ontogeny.

Much of the behavioural data of this study will be collected via the use of videography and may also include the use of hydrophones to explore acoustic communication to better understand social structure and behaviour. There will also be a molecular analysis (e.g. transcriptome profiling) within the study of aggression, dominance-subordinance and cannibalism. Experimentation will include both longer term trials that mimic commercial rearing and short term experiments where animals will be held in various combinations on smaller scales to better characterise behaviour.

Eligibility
  • Research experience or undergraduate training in aquaculture, physiology, nutrition, animal behaviour and/or molecular biology (project specific).
  • Demonstrated experience in aquaculture growth or feeding experiments and laboratory analytical analysis
  • Keen interest in and desire for a career in aquaculture and/or marine ecology
  • Graduates with a strong academic record (e.g. BSc Hons, MSc or equivalent qualifications demonstrated by publication record) in aquaculture, ecology, marine biology, molecular biology and zoology or similar

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • Applicants will be assessed and ranked according to the quality of their basis for entry research degree and institution, prior peer reviewed publications, academic awards, project-specific skills, training or relevant industry experience, referee’s reports and supervisory support
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Quinn Fitzgibbon for further information.

Closing Date

1st October 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

Shell characteristics form an important component of the marketability of Pacific oysters. Two of the most important traits are the ratio of shell to meat, and the hardness of the shell.  Brittleness or ‘chalkiness’ in the cultured Pacific oyster can lead to the shell breaking during shucking, leaving the animals unsaleable. This phenomenon is poorly understood but is thought to be associated with faster growth and can occur in particular growing areas, hence nutrition, environment and genetics are suspected to be key factors influencing this condition. Faster growth can also lead to a higher ratio of shell to meat, which is a less desirable marketing characteristic. Breeding programs typically select for growth, meat condition and disease resistance. Pacific oyster selective breeding in Australia has been recently been focussed on disease resistance for Pacific oyster mortality syndrome (POMS). Anecdotal reports have indicated recently that shell brittleness and shell to meat ratio has increased and this may be a negative consequence of selecting for POMS resistance.

This project aims to characterise the variation in shells in Pacific oysters according to husbandry (e.g. rearing location/technique) and family pedigree. In characterising the shell, the general approach will be to examine shell to meat ratios, shell density, and elemental composition. Analysis will include, elemental profiling (e.g. X-ray fluorescent spectrometry XRF and/or inductively Coupled Plasma Mass Spectrometry) for characterising shell and meat composition and stable isotope analysis for tracing nutrient assimilation. The use of these techniques is relatively novel in oyster biology and has recently been demonstrated to be highly informative in ecological studies. The understanding developed from characterising the biology of Pacific oyster shells in this study will be used to develop a rapid phenotyping tools that can be used in selective breeding.  

The project core themes are aquaculture and marine ecology. Supervision will be provided by Dr Andrew Trotter, Associate Professor Greg Smith and the candidate will be based at the Institute for Marine and Antarctic Studies (IMAS) at Taroona. A large component of the research includes collaboration with Dr Debashish Mazumder of the Australian Nuclear Science and Technology Organisation (ANSTO) in Sydney; and Matt Cunningham of Australian Seafood Industries (Pacific oyster breeding program), also based in Hobart.

Eligibility
  • Graduates with a strong academic record (e.g. BSc Hons, MSc or equivalent qualifications demonstrated by publication record) in aquaculture, ecology, marine biology and zoology or similar are encouraged to apply. In addition to laboratory based work at IMAS, applicants should be comfortable with field trips to oyster farms at various locations in Tasmania and spending periods at ANSTO in Sydney to undertake highly specialised laboratory analysis
  • Research experience or undergraduate training in chemistry. Keen interest in and desire for a career in aquaculture and/or marine ecology

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • Applicants will be assessed and ranked according to the quality of their basis for entry research degree and institution, prior peer reviewed publications, academic awards, project-specific skills, training or relevant industry experience, referee’s reports and supervisory support
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Andrew Trotter for further information.

Closing Date

30 November 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

For the past 58 years, science in Antarctica has been carried out under the terms of the Antarctic Treaty, and national and international scientific research programs have been the most conspicuous visible expression of the workings of the treaty. It has been said that "science is the currency of the influence in the Antarctic Treaty" (Press, 2013). This project will study how scientific cooperation among the contracting parties and the consultative parties, how they are organized and how they play their respective roles. The project will focus on China as a specific case study.

Essential skills/experience

  • Understanding of China's Antarctic science program

Assessment criteria

Applicants will be assessed and ranked according to the quality of their basis for entry research degree and institution, prior peer reviewed publications, academic awards, project-specific skills, training or relevant industry experience, referee's reports and supervisory support.

Contact for more information

Please contact Prof Marcus Haward at Marcus.Haward@utas.edu.au for more information.

Closing Date

30th March 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

The Kerguelen Plateau and Broken Ridge large igneous province (LIP) in the southern Indian Ocean formed contiguously by massive mafic volcanism in Early to mid-Cretaceous time. The project will illuminate rifting, breakup, and separation mechanisms and processes of these oceanic end-members, using multibeam bathymetry, sub-bottom-profiling, seismic reflection, gravity, and magnetics data. The project involves participating in a 59-day voyage in early 2020 aboard the research vessel (RV) Investigator during which the data will be acquired.

Eligibility
  • A desire to undertake marine geoscientific fieldwork
  • Excellent written and oral communication skills
  • Degree-level undergraduate education in geophysics or geosciences
  • Familiarity with geophysical data acquisition, processing, and interpretation
  • Ability to work independently and as part of a team

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria

Applicants will be assessed and ranked according to the quality of their basis for entry research degree and institution, prior peer reviewed publications, academic awards, project-specific skills, training or relevant industry experience, referee’s reports and supervisory support.

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Mike Coffin for further information.

Closing Date

30th March 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

The Kerguelen Plateau and Broken Ridge large igneous province (LIP) in the southern Indian Ocean formed contiguously by massive mafic volcanism in Early to mid-Cretaceous time. The project will illuminate rifting, breakup, and separation mechanisms and processes of these oceanic end-members, using plate kinematic and geodynamic modelling. The project involves participating in a 59-day voyage in early 2020 aboard the research vessel (RV) Investigator during which the data will be acquired.

Eligibility
  • A desire to undertake marine geoscientific fieldwork
  • Marine geoscientific research voyage experience
  • Degree-level undergraduate education in geophysics or geosciences
  • Familiarity with plate kinematic and geodynamic modelling
  • Ability to work independently and as part of a team
  • Excellent written and oral communication skills

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria

Applicants will be assessed and ranked according to the quality of their basis for entry research degree and institution, prior peer reviewed publications, academic awards, project-specific skills, training or relevant industry experience, referee’s reports and supervisory support.

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Jo Whittaker for further information.

Closing Date

30 November 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

Marine phytoplankton grow in association with their own bacterial communities –  microbiomes –that are critical for their growth and physiology. Isolation/culture of algal cells results in depletion, disturbance or imbalance of their unique microbiomes (dysbiosis), reduced growth, unreliable biomass production, and often death. In contrast, retaining balanced microbiomes improves algal growth rate and biomass production and optimise biochemical/nutritional composition for aquaculture and biotechnology.

A PhD opportunity is open for a talented graduate to examine the diversity and function of marine haptophyte microbiomes. The project aims to determine how microbiome structure/composition modifies growth and physiology of haptophytes, and to engineer micr0biomes– construct synthetic microbiomes to optimise productivity of haptophytes such as Isochrysis, Tisochrysis and Diachronema.  The project combines NGS-based microbial community profiling, transcriptomics and culture-based approaches to examine host-functional responses, and construct/test synthetic engineered microbiomes of key haptophyte species used in aquaculture and biotechnology.  The project will be based in the Institute for Marine and Antarctic Studies (IMAS) and CSIRO Marine Research Laboratories in Hobart. The project is supervised by Drs Christopher Bolch (IMAS) and Anusysa Willis (CSIRO), and Kelli Anderson (IMAS) and Dr Heroen Verbruggen (Univ. Melbourne).

Essential skills/experience

Graduates with a strong academic record in Biological or Health Sciences and a background/experience in molecular biology and/or microbiology are encouraged to apply. Applications for this PhD position are open to domestic and international students, provided the latter are competitive when applying for fee waiver scholarships.

Desirable skills/experience

Candidates with strong computing skills and experience of collecting and analysing next-generation-sequencing (NGS) data will be viewed favourably.

Assessment criteria

Applicants will be assessed and ranked according to the quality of their basis for entry research degree and institution, prior peer reviewed publications, academic awards, project-specific skills, training or relevant industry experience, referee's reports and supervisory support.

Contact for more information

Please contact Christopher Bolch at chris.bolch@utas.edu.au for more information.

Closing Date

2nd November 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

This project aims to define optimums for key water and system physio-chemical properties and interactions between, nutrition, behaviour and lobster health. There is a lack of knowledge of the environmental optimums for juvenile stages of hatchery reared lobsters and for slipper lobsters which are new species to aquaculture. Key environment physio-chemical properties for investigation include temperature, light (intensity, spectrum and photoperiod), water quality parameters (ammonia, nitrate, salinity, alkalinity and pH), water exchange and flow dynamics (velocity, direction and turbulence). The interactions between environmental and nutritional factors (feed nutritional quality, stability and attractiveness) will be important. The project will also consider species specific differences between tropical and slipper lobsters and the ontogenetic shifts in environmental optimums from the 1st juvenile stage to market size.

The Ph.D. will employ a range of techniques including traditional growth studies complimented with measurements of respiratory metabolism (oxygen consumption, heart rate), nutritional (feed intake, biochemical analysis), behavioural (behavioural choice and videography) and health factors (microbiology, histology and immunology).

Eligibility
  • Research experience or undergraduate training in aquaculture, physiology, nutrition, animal behaviour and/or molecular biology (project specific)
  • Demonstrated experience in aquaculture growth or feeding experiments and laboratory analytical analysis. Keen interest in and desire for a career in aquaculture and/or marine ecology
  • Graduates with a strong academic record (e.g. BSc Hons, MSc or equivalent qualifications demonstrated by publication record) in aquaculture, ecology, marine biology, molecular biology and zoology or similar

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • Applicants will be assessed and ranked according to the quality of their basis for entry research degree and institution, prior peer reviewed publications, academic awards, project-specific skills, training or relevant industry experience, referee’s reports and supervisory support
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Quinn Fitzgibbon for further information.

Closing Date

30th October 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

This Ph.D. project will focus on the influence of feeding strategies on the feeding behaviour and nutrient intake of juvenile lobsters. Key feeding strategies for investigation include feed frequency, ration, distribution and feed form (attractants/stability). The aim of the research will be to develop feeding strategies and feed formulations which maximize nutrient intake efficiency through the rapid ingestion of presented feeds whilst limiting nutrient loss from leachage and wastage.

The project will also consider behavioural responses to feed presentation and species-specific differences between tropical and slipper lobsters and ontogenetic shifts in environmental optimums from the 1st juvenile stage to market size. The Ph.D. will employ a range of techniques including nutrient intake studies complimented with measurements lobster feeding behaviour (behavioural choice and videography) and nutritional factors (biochemistry, feed stability/leakage, feed formulation)

Eligibility
  • Graduates with a strong academic record (e.g. BSc Hons, MSc or equivalent qualifications demonstrated by publication record) in aquaculture, ecology, marine biology, molecular biology and zoology or similar
  • Research experience or undergraduate training in aquaculture, physiology, nutrition, animal behaviour and/or molecular biology (project specific)
  • Demonstrated experience in aquaculture growth or feeding experiments and laboratory analytical analysis
  • Keen interest in and desire for a career in aquaculture and/or marine ecology

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • Applicants will be assessed and ranked according to the quality of their basis for entry research degree and institution, prior peer reviewed publications, academic awards, project-specific skills, training or relevant industry experience, referee’s reports and supervisory support
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Quinn Fitzgibbon for further information.

Closing Date

20th March 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

This project will focus on idealised ocean model simulations to test how continental breakup, and the resulting change in width and depth of seaways, and their position relative to wind and buoyancy forcing, affects ocean circulation. This will provide a mechanistic understanding of the effect of the opening of seaways on the climate system. This PhD project is part of a recently funded ARC Discovery Project, and the PhD researcher will have the opportunity to collaborate with the chief investigators, postdocs, and other PhD students involved.

The following eligibility criteria apply to this project:
  • See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree
  • The project is open to domestic and international candidates
  • Research must be undertaken on a full-time basis.
  • Applicants must be able to demonstrate strong research and analytical skills.
Selection Criteria
  • Essential skills/experience: Honours (or equivalent) or Master's degree in physics, maths, engineering, physical oceanography, meteorology or related geophysical disciplines.
  • Solid mathematical skills, particular in regards to partial differential equations and linear algebra.
  • Basic programming skills (UNIX/Linux operating systems and scripting languages, Python, Matlab, etc.).
  • Ability to work independently and as part of a team.
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact Andreas Klocker for further information.

Closing Date

8th May 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

Significant quantities of plastic debris pollute nearly all the world’s ecosystems, where it persists for decades. Much of the focus has been on the considerable threat posed to flora and fauna, with little information on techniques to mitigate harm to tourism or other industries, particularly on remote islands where debris often accumulates.

The PhD candidate will investigate examples of successful waste mitigation, and oceanographic factors influencing debris accumulation rates, and new development/tourisms opportunities that will enable remote island communities to manage and adapt to changing conditions. The candidate will benefit from existing stakeholder and community networks to identify and prioritise mitigation options while being supported by a diverse supervisory team.

Eligibility
  • First-class Honours degree or equivalent qualifications in environmental science
  • High level oral and written communication skills including at least one publication in an international, peer-reviewed journal
  • Ability to work independently and as a productive member of a team
  • Experience in applied research, working with the community, government, or in natural resource management
  • Detailed knowledge of oceanography or engineering systems
  • Applicants will be assessed and ranked according to the quality of their basis for entry research degree and institution, prior peer reviewed publications, conference presentations, academic awards, project-specific skills, training or relevant work experience, and referee’s reports

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Jennifer Lavers for further information.

Closing Date

1st March 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

The project will use a combination of field observations in sea ice and seawater and modelling tools to reconcile the iron and carbon cycles in the southernmost parts of the Southern Ocean, including sea ice. The project will use a combination of field observations in sea ice and seawater and modelling tools to reconcile the iron and carbon cycles in the southernmost parts of the Southern Ocean.

The aims and proposed thesis chapters are as follows:

  1. Use physical, chemical and biological data to evaluate their interactions with the carbonate system during a 3 weeks times series in seawater collected under coastal sea ice near Davis station in summer 2015.
  2. Study the carbonate system in and under sea ice during an upcoming time series near Mawson station (2020-2021). The data will then be implemented in a LIM1D biogeochemical model. The model will then be used to quantify the efficiency of the annual sea-ice carbon pump in coastal waters, and its sensitivity to changing sea-ice conditions.
  3. Use physical, chemical and biological data to evaluate their interactions with the carbonate system in sea ice and seawater collected during a spatial study in late summer 2016/17 along the East Antarctic coast (Mertz and Ninnis Polynyas, Totten Ice Shelf).
  4. Use physical, chemical and biological data to evaluate their interactions with the carbonate system in sea ice and seawater collected at the southernmost stations of the I9 South oceanographic section (2021/22).
  5. A final chapter will use results gained in chapters 1-4 to validate a biogeochemical sea-ice ocean coupled model in collaboration with CSIRO and UTAS post-docs.

Each chapter will constitute a paper. This PhD project will directly contribute to the milestones of the Australian Antarctic Program Partnership, under themes 2 and 3.

Eligibility
  • Aptitude for multidisciplinary research, good quantitative and  computing skills
  • Interest in laboratory and field-based experimental work
  • Experience in chemistry and/or biology in polar environments

Applicants from the following disciplines are eligible to apply:

  • Degree in Marine, Environmental or Earth sciences

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Delphine Lannuzel for further information.

Closing Date

1st July 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

This project will focus on understanding of the energetics of mesoscale eddies in the East Australian Current region, with an emphasis on the energy routes to dissipation and mixing, and the eddy contribution to the shelf-open ocean exchange of tracers, using a fine-resolution, regional model of the EAC region.

Eligibility
  • Applicants will be assessed and ranked according to the quality of their basis for entry research degree and institution, prior peer reviewed publications, academic awards, project-specific skills, training or relevant industry experience, referee's reports and supervisory support.
  • Applicants from a variety of disciplines are eligible to apply

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • Strong background in Mathematics and Physics. Matlab or Python coding experience.
  • Ocean model development, experiments, and model output analysis
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Maxim Nikurashin for further information.

Closing Date

2nd November 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

This PhD will aim to quantify mineralisation of the exoskeleton of juvenile tropical and slipper lobsters as a function of endogenous (stored) and exogeneous (food and environment) mineral sources. Mineral fluxes in crustacean around moulting signifies specific physiological adaptations particularly aiming at maintaining the acid-base homeostasis. It is a common knowledge that at the pre-moult stage, minerals are resorbed from the old cuticle and at post-moult stage, the new cuticle is mineralised. Crustacea have some specific mechanisms to store resorbed minerals, particularly calcium from the old cuticle and which is made available to mineralise the new cuticle at post-moult. However, this endogenous source of mineral is not considered significant in marine crustacea due to it being readily available in the environment. Therefore, it is generally accepted that food and the environment are the main source for minerals in marine crustacea and the relative importance of these two sources are species dependent.

At present, the ability for juvenile tropical and slipper lobsters to store and reutilise resorbed minerals is unknown. Similarly, the relative contributions of minerals from food and the environment is as well unknown for these two species. A quantitative assessment of the three potential mineral sources (stored, food and environment) which makes up the exoskeleton is key to feed formulation. The PhD will employ a wide range of analytical tools to further understanding of the mechanism by which the acid-base balance in juvenile tropical and slipper lobsters is maintained.

Eligibility
  • Graduates with a strong academic record (e.g. BSc Hons, MSc or equivalent qualifications demonstrated by publication record) in aquaculture, ecology, marine biology, molecular biology and zoology or similar
  • Applicants will be assessed and ranked according to the quality of their basis for entry research degree and institution, prior peer reviewed publications, academic awards, project-specific skills, training or relevant industry experience, referee’s reports and supervisory support
  • Research experience or undergraduate training in aquaculture, physiology, nutrition, animal behaviour and/or molecular biology (project specific)
  • Demonstrated experience in aquaculture growth or feeding experiments and laboratory analytical analysis. Keen interest in and desire for a career in aquaculture and/or marine ecology

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Quinn Fitzgibbon for further information.

Closing Date

30 November 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

This project will focus on the distribution of marine plastics in Antarctic sea ice. The candidate will analyse plastics in archived and new ice cores collected around Antarctica to evaluate the spatial and seasonal patterns, if any, in the samples. Additional work will be conducted in the home laboratory to quantify the mechanisms of plastics incorporation during sea ice formation, using both a sea-ice tank and modelling approaches. Work is envisage with SCRIPPS advisors to evaluate the bioaccumulation and toxicology of microplastics through the polar food-web, from algae, to zooplankton and marine mammals.

Essential skills/experience

  • An undergraduate degree plus Honours or Masters that includes marine biology and chemistry
  • Experience with laboratory-based work, programming for data analysis
  • Strong written and oral communication skills

Desirable skills/experience

  • Familiarity with plastics or sea-ice biogeochemistry

Assessment criteria

Applicants will be assessed and ranked according to the quality of their basis for entry research degree and institution, prior peer reviewed publications, academic awards, project-specific skills, training or relevant industry experience, referee's reports and supervisory support.

Contact for more information

Please contact Delphine Lannuzel at delphine.lannuzel@utas.edu.au for more information.

Closing Date

30th October 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

This project will characterize the physiological response, impacts and tolerance levels to environmental factors associated with live transport and investigate novel transport processes for the optimum delivery live lobster seed to grow-out industries around Australia and the globe. Initial research will focus on characterizing metabolic demands (oxygen) and excretory production (ammonia and CO2) of tropical and slipper lobster post-larvae (puerulus and nisto, respectively) and early juveniles.

The project will investigate the impacts and tolerance levels of environmental stressors associated with live transport (temperature and water quality deterioration) and examine novel processes minimize stress and optimize transport performance. Novel processes will include the use of water quality buffering/conditioning systems, anaesthetics and innovative moist and dry transport systems. The Ph.D. will employ a range of techniques including metabolic physiology (respiratory metabolism, heart rate, excretory metabolism), health and stress assessments (biochemistry, microbiology, histology, immunology) and explore practical tools and systems for effective and efficient transport of live lobsters.

Eligibility
  • Graduates with a strong academic record (e.g. BSc Hons, MSc or equivalent qualifications demonstrated by publication record) in aquaculture, ecology, marine biology, molecular biology and zoology or similar
  • Research experience or undergraduate training in aquaculture, physiology, nutrition, animal behaviour and/or molecular biology (project specific)
  • Demonstrated experience in aquaculture growth or feeding experiments and laboratory analytical analysis. Keen interest in and desire for a career in aquaculture and/or marine ecology

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • Applicants will be assessed and ranked according to the quality of their basis for entry research degree and institution, prior peer reviewed publications, academic awards, project-specific skills, training or relevant industry experience, referee’s reports and supervisory support
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Quinn Fitzgibbon for further information.

Closing Date

30th April 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

During the last glacial period, and during previous glacial periods of the late quaternary, atmospheric CO2 was 80 – 100 ppm lower than during interglacial periods, representing a potent agent of climate feedback. Changes in ocean carbon cycling, including increased biological carbon export and a decreased rate of ocean overturning circulation, contributed to carbon drawdown from the atmosphere during glacial periods. However, the relative importance of these mechanisms across the last glacial cycle, both temporally and spatially, remains poorly resolved.

Working within an international team, this project will explore ocean carbon uptake mechanisms in the poorly sampled southern Indian Ocean across the most recent glacial cycle. The student will analyse geochemical proxies of biological productivity and bottom water oxygen in a suite of sediment cores collected in 2018. The cores were collected from water depths ranging from ~1000 – 5000m, and present an opportunity to use past changes in carbonate preservation with depth to constrain deep ocean carbon storage.

In the second year of the project there may be an opportunity to join a voyage to collect new sediment cores from the far southern Indian Ocean, on the Antarctic slope.

Eligibility
  • A background in chemical oceanography, paleoceanography or geochemistry would be advantageous
  • Familiarity with quantitative data analysis approaches and tools, including scripting languages (Matlab/R/Python) is highly desirable
  • This project requires a student with strong chemistry lab skills

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Zanna Chase for further information.

Closing Date

31st October 2019 

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

Tasmania is experiencing escalated development of its coastal regions, with greater use of coastal waters for industry and recreational activities, as well as the value placed on the pristine nature of our coasts.

A greater understanding of community values regarding the marine environment is required so that increased seafood production and marine-based livelihoods can be generated from a public resource to meet the needs of current and future generations. In addition, procedural justice is a key component underpinning conflict in this arena. It is not enough purely to understand community values, it is imperative to understand how such values can be incorporated into a ‘just’ decision-making process.

This project will use the Tasmanian coast as a case study to investigate potential means by which to incorporate natural resource values into public decision-making processes relating to commons-resource use.

Eligibility
  • Applicants should have a first-class Honours degree or equivalent qualifications in human geography/natural resource management/social sciences/political sciences/environmental science
  • Applicants from variety of disciplines are eligible to apply

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • High level oral and written communication skills
  • Ability to work independently and as a productive member of a team
  • Experience in applied research, working with industry, government or in natural resource management
  • Publications in highly-ranked international peer-reviewed journals
  • Applicants will be assessed and ranked according to the quality of their basis for entry research degree and institution, prior peer reviewed publications, academic awards, project-specific skills, training or relevant
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Karen Alexander for further information.

Closing Date

2nd November 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

This Ph.D. will aim to identify potential disease-causing agents in onshore lobster culture systems. With the intensification of lobster culture there is the suggestion that many putative pathogens will emerge that are yet to be identified or their associated diseases observed and reported.

Biosecurity is an essential aspect of this emerging aquaculture industry and it is vital to ensure that cultured lobsters are healthy to ensure the sustainability of lobster aquaculture. The closed-nature of onshore RAS provides the ability to monitor and treat all inputs and outputs to the system. This research will use portable real-time third generation nucleic acid sequencing to characterise the microbiota of the TRL/SL rearing system to provide a baseline as to what microorganisms (bacteria, viruses and eukaryotic microbes) are associated with the culture of healthy lobsters. This will allow the detection and identification of known and unknown pathogens that may enter the system or opportunistically impact the culture environment. It is envisaged that detailed knowledge of the microbiota and the ability to archive this information for future interrogation will lay the foundations for and allow onshore RAS lobster aquaculture to set a new standard for aquaculture biosecurity.

Eligibility
  • Graduates with a strong academic record (e.g. BSc Hons, MSc or equivalent qualifications demonstrated by publication record) in aquaculture, ecology, marine biology, molecular biology and zoology or similar
  • Applicants will be assessed and ranked according to the quality of their basis for entry research degree and institution, prior peer reviewed publications, academic awards, project-specific skills, training or relevant industry experience, referee’s reports and supervisory support
  • Research experience or undergraduate training in aquaculture, physiology, nutrition, animal behaviour and/or molecular biology (project specific)
  • Demonstrated experience in aquaculture growth or feeding experiments and laboratory analytical analysis. Keen interest in and desire for a career in aquaculture and/or marine ecology

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Quinn Fitzgibbon for further information.

Closing Date

1st September 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

Antarctic seabirds are susceptible to a range of influences at and near their breeding sites during the summer months, and across their extensive winter migratory ranges. Identifying how changes in marine and terrestrial habitats will effect seabirds will aid in their conservation.

This project will investigate the relationship between snow petrels and their environment using seabird foraging, at-sea, and breeding habitat observations and physical characteristics of the environment including sea-ice and wind field data. Data will be used to establish species-environment links and projected in line with CMIP6 climate model output to predict population changes in the future. Analyses will initially use statistical methods to identify key environmental factors that likely influence their distribution and abundance.

The snow petrel is an iconic species breeding in ice-free areas around the Antarctic continent. They feed primarily on fish and krill in the loose pack ice within reach of their colonies. Nesting locations are governed by their distance and access to productive feeding grounds as well as the availability of suitable cavities. Snow petrel performance is linked to regional sea ice concentration and extent through their dependence on sea-ice for foraging and the association between sea-ice and krill. Their main prey, Antarctic krill, depend on sea ice for their winter food supply and are the focus of a large fishery which make snow petrels an important indicator of ecosystem change.

Eligibility
  • An understanding of ocean and/or seabird ecology and ecosystem dynamics
  • Strong quantitative skills, Experience with analysis software such as Matlab, R, Python or GIS
  • An understanding of oceanographic fundamentals, An ability to work at sea, Ocean-going fieldwork experience focusing on bird observations
  • Experience/understanding of Southern Ocean birdlife Field work experience , Ability or capacity to develop the ability to work with complex datasets or model output

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Stuart Corney for further information.

Closing Date

6th April 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

Technology and social media have revolutionised the way we engage with causes and bring about change in the world. While some environmental issues are captured by community imagination, not all are acted on. What are the mechanisms that allow some to become accepted? The PhD candidate will investigate examples of successful local and global movements (e.g., school strike for climate) with the aim to identify the belief systems and behaviours behind their success. This cutting-edge project is at the nexus of truly multidisciplinary teams, encompassing IT, media, psychology, and environmental and social science. The candidate will use available IT resources and their skills in science communication to access social channels, identify successful movements, and propose new projects that allow communities to profile actions.

Eligibility
  • First-class Honours degree or equivalent qualifications in environmental/social science
  • High level oral and written communication skills including at least one publication in an international, peer-reviewed journal
  • Ability to work independently and as a productive member of a team
  • Experience in applied research, working with the community, government, or in natural resource management
  • Proven capacity to use technology systems and IT literacy

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • Applicants will be assessed and ranked according to the quality of their basis for entry research degree and institution, prior peer reviewed publications, conference presentations, academic awards, project-specific skills, training or relevant work experience, and referee's reports
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Jennifer Lavers for further information.

Closing Date

1st September 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

The physical environment of the Southern Ocean is already experiencing many changes due to the impacts of climate change, including overall warming and freshening, and regional hotspots of warming where climate change is manifesting more rapidly than the global mean. These changes include a decrease in sea ice extent and duration, intensified warming, as well as possible increases in variability.  

This project will use ocean-sea ice model output to investigate properties and quantify changes in sea ice over the past 60 years, with a specific focus on how those changes are likely to impact upon key Southern Ocean species (such as Antarctic krill, penguins, seals and whales) and the ecosystem as a whole.

Eligibility
  • Strong quantitative skills
  • Experience with ocean or climate model output
  • Experience with programming languages and analysis software such as python and Matlab
  • Understanding of the Southern Ocean marine-ecosystem
  • Understanding of sea ice formation and processes

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Stuart Corney for further information.

Closing Date

3rd December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

This project will apply a suit of geochemical methods to quantify the amount of dust-borne iron reaching the Southern Ocean around Australia. In one third of the global ocean, the growth of phytoplankton is limited by the availability of iron, an essential trace nutrient (Moore et al. 2004). Mineral dust is an important source of iron to the ocean, supplying up to 50% of the iron to support phytoplankton growth in iron-limited regions (Okin et al. 2011).

The Southern Ocean is the largest and climatically most important iron limited region, being responsible for 35 to 40% of total CO2 uptake by the ocean (Landschutzer et al. 2015). In-situ iron fertilization experiments in the Southern Ocean clearly demonstrate the potential for external iron inputs, including dust, to stimulate productivity and carbon uptake in the Southern Ocean (Boyd et al. 2000).

Despite its importance, dust deposition to the ocean has been determined directly at only a handful of locations. Following the approach of Anderson et al (2016), this project will use geochemical methods based on the measurement of thorium isotopes and trace metals in aerosols, seawater, particles and sediment in four regions east and south of Australia. This project focuses on the analysis of samples already in-hand and interpretation of results, but there will also be an opportunity to go to sea.

Eligibility
  • This project involves a large component of sample analysis using advanced analytical methods requiring careful attention detail. The ideal candidate will have a background in chemistry, oceanography, earth science, or a closely related field, with research experience in analytical chemistry, chemical oceanography, geochemistry or a closely related field
  • Applicants from variety of disciplines are eligible to apply

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • Prior experience working in a clean laboratory, using ICP-MS and/or chromatographic separation, is desirable
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Zanna Chase for further information.

Closing Date

30th December 2019

  • Applicants should contact the primary supervisor, and submit their application as soon as possible.
  • Applicants wishing to commence candidature in early 2019 should complete the Expression of Interest (EOI) and Application processes as soon as possible.
The Research Project

This project will develop portable analytical technology for the in-field measurement of soil chemistry. By using a 3D printer, devices will be rapidly prototyped and then produced in sufficient volume for field evaluation to obtain crucial data on the usability. A rapid design/use cycle will accelerate the development of a low-cost and practical device for in-field measurement of soil chemistry that can be used by environmental consultants, farmers and home gardeners.

Eligibility:

The following eligibility criteria apply to this scholarship:

  • The scholarship is open to Australian and New Zealand (domestic) candidates and to International candidates.
  • Research must be undertaken on a full-time basis.
  • Applicants must already have been awarded a First Class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector.
  • Applicants must be able to demonstrate strong research and analytical skills.

Candidates from a variety of disciplinary backgrounds are encouraged to apply. Knowledge and skills that will be ranked highly include:

  • Analytical and/or soil chemistry
  • 3D printing and/or microfabrication
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact the Primary Supervisor, Prof. Michael Breadmore, School of Natural Sciences (Chemistry), for further information.

Closing Date

31 December 2022*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

This project is focused on designing and engineering novel transition metal-based catalysts to establish unprecedented chemical reactions. The potential of these processes to establish new modes of small molecule activation and develop novel synthetic methodology will be explored. The results of this project may lead to the establishment of new strategies for the rapid and direct synthesis of important classes of organic molecules, including natural products and their derivatives.

Eligibility

The following eligibility criteria apply to this project:

  • The project is open to domestic and international candidates
  • The PhD must be undertaken on a full-time basis
  • Applicants must already have been awarded a first class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills

Candidates from a variety of disciplinary backgrounds are encouraged to apply. Knowledge and skills that will be ranked highly include:

  • Organic synthesis
  • Inorganic chemistry
  • Organometallic chemistry

More Information

Please contact Dr Alex Bissember for more information.

Closing Date

31 December 2022*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

This project involves the screening of endemic Tasmanian plants to discover new and valuable compounds that can be used to lead drug discovery. By employing a practical pressurised hot water extraction (PHWE) method developed in-house, a range of plants will be extensively screened to determine their chemical profiles. The identification of plants containing significant quantities of organic molecules that can facilitate semi-synthesis and/ or feature chemotaxonomic value will also be pursued.

Eligibility

Please refer to the Entry Requirements for a Doctor of Philosophy degree.

Candidates from a variety of disciplinary backgrounds are encouraged to apply. Knowledge and skills that will be ranked highly include:

  • Synthetic organic chemistry, including chromatographic techniques
  • Structural characterisation techniques including NMR, IR and MSA

More Information

Please contact Dr Alex Bissember for more information.

Closing Date

31st December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

For protein identifications, the high-resolution separation techniques such as capillary electrophoresis (CE) and liquid chromatography (LC) are coupled with the powerful detector of mass spectrometry (MS) that is equipped with an electrospray ionisation interface (ESI).  Sample preparation is key to achieving high protein coverage or identification for CE-ESI-MS and LC-ESI-MS.  This project will develop new sample preparation techniques to improve protein identifications.

Eligibility
  • Applicants from variety of disciplines are eligible to apply

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • Background in analytical chemistry and/or proteomics
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Lito Quirino for further information.

Closing Date

31st December 2022*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

In the absence of a magnetic field, certain molecules can retain magnetisation; they exhibit a hysteresis (or a lagging) in the magnetisation below a certain temperature. The term Single Molecular Magnet (SMM) has been coined to describe such molecules. The origin of the magnetic hysteresis is not from long range magnetic ordering as seen in classical magnetic materials, rather is intrinsic to the molecular features of the molecules. The best lanthanide SMMs are usually based on monometallic complexes. However, radical bridges have been used to provide a very strong interaction between the unpaired electrons in the contracted 4f orbitals in dinuclear lanthanide complexes. This project involves the synthesis of new dinuclear complexes involving the verdazyl ligand.

Eligibility
  • The project is open to domestic and international candidates
  • Applicants must already have been awarded a first class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Rebecca Fuller for further information.

Closing Date

1st May 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

In October 2020, the RV Investigator will collect sediment cores at Havre, Macauley and Healy silicic submarine caldera volcanoes in the Kermadec arc. The project aims at understanding the behaviour of submarine volcanism during silicic caldera-forming eruptions. This fantastic project will include analysis of pre-existing cores and new cores collected during the 2020 voyage. The student will be part of the research voyage (1 month at sea) and carry out research in collaboration with our international research team. This research will include core logging, stratigraphic correlations, analysis of volcanic textures, pumice density and vesicularity, and flume experiments.

Eligibility
  • Experience in volcanology and sedimentology
  • Experience in analysis of volcanic textures
  • Good written and verbal scientific communication skills
  • Ability to work as part of a research team and individually

Applicants from the following disciplines are eligible to apply:

  • Volcanology
  • Sedimentology

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Martin Jutzeler for further information.

Closing Date

29 February 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

Expedition SO255 dredged the seafloor of the Kermadec intra-oceanic arc and back-arc at multiple locations over >130,000 km2, retrieving pumice and volcanic ash from the shallow seafloor. This project will address dispersal and sediment transport processes from submarine and subaerial silicic volcanism at the scale of an arc. The PhD student will conduct LA-ICP-MS chemical fingerprinting of the volcanic glass and crystals collected during SO255, and compare this data with existing geochemical databases. The style of transport (aerial, as floatsam, or fully underwater) will be inferred using the clast's physical characteristics and the extent of their dispersal. Floatsam dispersion by surface ocean currents will be calculated using oceanic models.

This project has large implications on regional sediment provenance, but also on geochemistry and petrology of submarine arc volcanism in general. This project is partly linked to the 2012 deep submarine eruption of Havre, and is likely to be merged with future volcanology projects in the Kermadec arc, including participation to a voyage in 2020.

The student would be part of the dynamic Submarine Volcanism Group at the University of Tasmania, and would benefit from a large panel of experts in CODES and Earth Sciences in general.

Eligibility

Candidates from the following disciplines are eligible to apply:

  • Earth Sciences
  • Geoscience
  • Marine Geoscience
  • Geochemistry
  • Volcanology
  • Sedimentology

The following eligibility criteria apply to this project:

  • BSc in Earth Sciences/Geosciences

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Selection Criteria
  • Authorship in a published peer-reviewed research paper
  • Good written and verbal scientific communication skills
  • Interest/experience in laboratory/research voyage
  • Ability to work as part of a research team / individually / as appropriate to project
Assessment Criteria

Applicants will be assessed and ranked according to the quality of their basis for entry research degree and institution, prior peer reviewed publications, academic awards, project-specific skills, training or relevant industry experience, referee’s reports and supervisory support.

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Martin Jutzeler for further information.

Closing Date

1st May 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

This project will identify geological and geochemical vectors toward gold mineralisation in the Northern Pataz district, Peru.  The project will integrate on-site geological fieldwork in remote areas and at high altitude. The student will analyse vein texture, and geochemical analyses will include pXRF, XRD, SWIR, LA- ICP-MS, and S isotopes to characterise mineralisation and alteration overprinted by greenschist metamorphism. The student will be part of the world-renown Centre for Ore Deposit and Earth Sciences (CODES) and the dynamic Volcanology Group at the University of Tasmania, and will work closely with another student which project focusses on volcanic architecture and facies analysis of the host rock.

Eligibility
  • Experience in ore deposits, mineralisation and alteration
  • Experience of fieldwork in remote, high-altitude areas
  • Ability to work as part of a research team and individually
  • Good written and verbal scientific communication skills
  • Skills in Spanish would be an advantage

Applicants from the following disciplines are eligible to apply:

  • Volcanology
  • Geology

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Martin Jutzeler for further information.

Closing Date

1st May 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

In early 2019, IODP expedition 379 in the Amundsen sea (offshore Western Antarctica) collected hundreds of metres of cores containing Ice Rafted Debris, and possible turbidites from the Miocene to present. This project aims at identifying volcanic components within these cores and carry out geochemical analysis to infer their provenance. The student will carry out geochemical analyses on volcanic glass shards and correlate this data with existing data from other expeditions and drill cores. Particle morphology will be analysed to infer transport and depositional processes. This study will allow identification of marker beds that may be dated by U/Pb on zircons with LA-ICP-MS to further extend our understanding on the temporal stability of the Western Antarctic Ice Sheet.

Eligibility
  • Experience in volcanology and clastic sedimentology
  • Good written and verbal scientific communication skills
  • Ability to work as part of a research team and individually

Applicants from the following disciplines are eligible to apply:

  • Volcanology
  • Geochemistry
  • Sedimentology

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Martin Jutzeler for further information.

Closing Date

1st May 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

This project aims at characterising volcanic architecture through facies analysis of outcrops and cores in a gold-mineralised prospect in Northern Pataz District, Peru. The project will integrate on-site geological fieldwork in remote areas and at high altitude. The project focusses on analysis of coherent and volcaniclastic textures, structures, and geochemistry of the volcanic host dated as Mississipian age..  The student will be part of the world-renown Centre for Ore Deposit and Earth Sciences (CODES) and the dynamic Volcanology Group at the University of Tasmania. The student will work closely with another student which project focusses on ore mineralisation and alteration.

Eligibility
  • Experience in analysis and description of volcanic textures
  • Experience of fieldwork in remote, high-altitude areas
  • Ability to work as part of a research team and individually
  • Good written and verbal scientific communication skills
  • Skills in Spanish would be an advantage

Applicants from the following disciplines are eligible to apply:

  • Volcanology
  • Economic geology

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Martin Jutzeler for further information.

Closing Date

31st December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

A critical and first step component of hydrothermal ore discovery is volcanic facies analysis, so that the geological context of ore deposits within a volcanic setting can be established. This project will improve discovery of ore deposits in Australia by combining traditional facies analysis approaches with the development of a novel, automated image-analysis statistical technique, which will permit the characterisation of individual volcanic units in terms of their crystal size distribution⎯and in an unbiased way.

Crystals are ubiquitous in most volcanic rocks and therefore an excellent feature to be used as primary identifier. Outputs from these techniques will be combined with structural reconstructions and chemical analyses to infer stratigraphic and petrogenetic relationships. This project will reconstruct the volcanic architecture hosting hydrothermal ore deposits at a regional scale, and identify the structural and stratigraphic controls on mineralisation.

Eligibility

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Applicants from the following disciplines are eligible to apply:

  • Economic Geology
  • Volcanology
  • Sedimentology
  • Geology
  • Geophysics
Assessment Criteria

Applicants will be assessed against the following criteria:

  • Number and quality of publications
  • Referee reports
  • Past work experience in volcanology/sedimentology or economic geology
  • Willingness to work in the field for long periods of time
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Rebecca Carey for further information.

Closing Date

12th October 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

Active glacier processes are amongst the most significant controls on how ice sheets contribute to the rate of sea level rise.  This project is part of a wider initiative to generate new knowledge about active glaciers and, ultimately, recommendations for cost-effective future glacier monitoring in East Antarctica. This project aims to identify active glacier processes such as crevassing, iceberg calving and the slip of ice over rock, and map these events in time-evolving 3D.  The research will progress innovative research techniques that use machine learning and/and or computer simulation applied to seismic records.

The research will involve working with large volumes of seismic data recorded close to active glaciers in multiple locations worldwide.  Depending on the interests areas of the applicant, the project will either focus on understanding glacier deformation processes using machine learning techniques applied to seismic records, or mathematical modelling of a subset of active glacier processes.  The research will be based in Physics at UTAS, with strong links to researchers at IMAS and hence the opportunity to use physics, mathematics and computing to progress interdisciplinary research for the polar regions.

Eligibility

Applicants from the following disciplines are eligible to apply:

  • Physics
  • Applied mathematics
  • Geophysics
  • Quantitative computational subjects

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • Interest/experience in global environmental research topics
  • Interest/experience in data handling and computer programming
  • Interest/experience in working as part of an interdisciplinary research team
  • Good written and verbal scientific communication skills
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Anya Reading for further information.

Closing Date

31st October 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

This project will explore novel algebraic methods for calculating evolutionary distances between organisms with circular genomes (e.g. bacteria). The focus of the project is applications of group representation theory to finding computationally efficient approximations to the likelihood function under a given model of genome rearrangement. Several avenues for this are available, including the inclusion of random representations, including only the most influential eigenvalues, approximating matrix elements, and exploring Kronecker product constructions of irreducible representations.

Applicants should have a degree in mathematics (or equivalent), as well as interest in applications to evolutionary biology. Some knowledge of abstract algebra and strong programming skills are highly desirable. Although the project is primarily theoretical in focus, there is scope to apply the results to real molecular data sets.

Eligibility
  • The scholarship is open to Australian and New Zealand (domestic) candidates and to International candidates
  • Research must be undertaken on a full-time basis
  • Applicants must already have been awarded a first-class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills
  • Applicants from a variety of disciplines are eligible to apply

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • Degree-level undergraduate education in mathematics or a related subject
  • Demonstrated knowledge of abstract algebra
  • Programming knowledge and experience
  • Demonstrated interest in molecular biology and/or bioinformatic (phylogenetics in particular)
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Jeremy Sumner for further information.

Closing Date

31st December 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

Many galaxy properties, including mass, star formation history and morphology, are correlated with their environments. The properties of Active Galactic Nuclei (AGN) hosted by these galaxies are similarly sensitive to where the galaxy finds itself. For example, powerful radio AGN, produced by relativistic jet launching by a combination of spin and accretion onto a supermassive black hole, are found overwhelmingly in galaxy groups and clusters. Interpreting the observable properties of radio AGN is important for quantifying the amount of feedback these objects do on their host galaxies and beyond, yet this too depends on knowledge of the environment into which the jets are propagating.

GAMA Legacy ATCA Southern Survey (GLASS) is a 3000-hour Legacy survey on the Australia Telescope Compact Array (ATCA), Australia's premier radio astronomy instrument. GLASS conducts sensitive observations of 50 square degrees of the sky at 5.5 and 9.5 GHz. A key feature of GLASS is availability of environment measures through deep optical group catalogues covering the survey field. The two main science goals are to measure the demographics of Active Galactic Nuclei and star forming galaxies in both the nearby and high-redshift Universe, as a function of environment.

This PhD project will focus on imaging GLASS data, and constructing catalogues of radio sources and their host galaxies across a wide range of radio, optical and infra-red wavelengths, for a complete census of AGN, star forming galaxies, and their environments. For an interested student, an AGN modeling component using the UTAS-developed RAiSE dynamical model is also a possibility. This project will be performed in collaboration with colleagues CSIRO Astronomy and Space Science.

Eligibility
  • Open to Australian (domestic) candidates and to International candidates
  • Applicants must already have been awarded a first class or second upper Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills
  • Applicants from a variety of disciplines are eligible to apply

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • Degree-level undergraduate education in physics, astronomy, or a related subject
  • Familiarity with radio astronomy techniques and/or analytical modelling
  • Coding experience
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Stas Shabala for further information.

Closing Date

31 December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

The evolution of galaxies over cosmic time is influenced by factors such as environment, interactions, AGN feedback and star formation. We are using a powerful new tracer to investigate nearby starburst galaxies, where large-scale processes are driving the rapid formation of large numbers of stars.

In order to better understand the factors which cause enhanced star formation rates in starburst galaxies we need to form a holistic picture of the process, which includes the dense molecular gas that acts as the fuel. We have recently discovered a new type of methanol maser, associated with the molecular gas in the central regions of starburst galaxies and the primary purpose of this project is to improve our understanding of these masers, in order to determine how they relate to the starburst phenomenon.

This project will involve utilising world-class radio and millimetre interferometers, such as the Australia Telescope Compact Array, the Jansky Very Large Array and the Atacama Large Millimetre Array to make sensitive, high-resolution observations of methanol maser transitions and range of other molecular tracers.  These data will be used to better understand the physical conditions in the regions where the maser arise and how these relate to large-scale dynamical and chemical processes within the host galaxy, with the overall aim of providing a new tool to help understand the causes of starbursts and its relation to the evolution of galaxies over cosmic time.

Eligibility

Please refer to the Entry Requirements for a Doctor of Philosophy degree.

The following eligibility criteria apply to this scholarship:

  • The scholarship is open to Australian (domestic) candidates and to International candidates.
  • The PhD must be undertaken on a full-time basis.
  • Applicants must already have been awarded a first class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector.
  • Applicants must be able to demonstrate strong research and analytical skills.
  • Experience in Radio interferometry is highly desirable.

Candidates from a variety of disciplinary backgrounds are encouraged to apply. Knowledge and skills that will be ranked highly include:

  • Degree-level undergraduate education in physics, astronomy, or a related subject.

More Information

Please contact Simon Ellingsen for more information.

Closing Date

31 December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

One of the six ‘big questions’ posed in the 2016 Decadal Plan for Australian Astronomy: How do stars and planetary systems form? This PhD project will directly address this fundamental question.

The University of Tasmania is collaborating in a “Legacy” science project being undertaken with the Australia Telescope Compact Array (ATCA) that is building on Australia’s rich tradition of spectral line legacy surveys to deliver a 7-mm dense gas survey of the Fourth Quadrant Galactic Plane in multiple molecular spectral lines and continuum emission. This will address a wide range of astrophysical challenges, including directly testing competing theories of massive star formation and mapping the dense gas structure of the Milky Way through to the far side of the Disk.  By locking in key measurements in our "astronomical backyard", the project will provide a crucial astrophysical template that will allow us to interpret future sensitive, high-resolution surveys of external galaxies with ALMA and the SKA.

This project will involve utilising the Australia Telescope Compact Array to make sensitive, high-resolution observations of the dense-gas molecular tracer CS, along with methanol masers and range of other molecular tracers.  These data will be used to obtain a census of high-mass star forming regions (through CS, SiO, methanol masers and radio continuum observations) and directly test theoretical predictions of high-mass star formation and their precursors, feeding directly into future work on high-mass star formation.

Eligibility

Please refer to the Entry Requirements for a Doctor of Philosophy degree.

The following eligibility criteria apply to this scholarship:

  • The scholarship is open to Australian (domestic) candidates and to International candidates.
  • The PhD must be undertaken on a full-time basis.
  • Applicants must already have been awarded a first class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector.
  • Applicants must be able to demonstrate strong research and analytical skills.
  • Experience in Radio interferometry is highly desirable.

Candidates from a variety of disciplinary backgrounds are encouraged to apply. Knowledge and skills that will be ranked highly include:

  • Degree-level undergraduate education in physics, astronomy, or a related subject.

More Information

Please contact Simon Ellingsen for more information.

Closing Date

31st December 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

It may seem odd to compare black holes to thermostats, yet mounting evidence suggests this is precisely their role in galactic ecosystems. The Active Galactic Nucleus (AGN) phenomenon in galaxies is intermittent, but the drivers of both the triggering and cessation of black hole activity are not yet well constrained. One clue lies in the different environments inhabited by fast, powerful jets, and their slower, less powerful counterparts. These two types of jets also impart very different types of feedback on the surrounding gas, and hence understanding their origins is important to galaxy formation and evolution studies. Recently, it has been hypothesized that low-power jets are disrupted due to the slowing down of the jet by external gas and/or star formation in the jets' host galaxy.

This project aims to test this hypothesis by combining state-of-the-art jet and galaxy formation models. The project will use the PLUTO astrophysical fluids code to simulate the propagation of jets with different properties in a range of environments. In each case, predictions will be made for both the efficiency of jet feedback, and observable properties of jet-inflated structures. Model predictions will be confronted with observational data from leading Australian and international projects. This project will be performed in collaboration with colleagues from the University of Hertfordshire and the ASTRO-3D ARC Centre of Excellence in All-Sky Astrophysics.

Eligibility
  • Open to Australian (domestic) candidates and to International candidates
  • Applicants must already have been awarded a first class or second upper Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills
  • Applicants from a variety of disciplines are eligible to apply

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • Degree-level undergraduate education in physics, astronomy, or a related subject
  • Familiarity with numerical simulations, analytical modelling and/or astronomy techniques
  • Coding experience
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Stas Shabala for further information.

Closing Date

31 December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

Under contract with Geoscience Australia, UTAS operates a continent-wide network of geodetic Very Long Baseline Interferometry (VLBI) telescopes. Our antennas in Katherine (NT), Yarragadee (WA) and Hobart (TAS) contribute to measuring global reference frames and Earth orientation.

VLBI observations to satellites have the aim of improved space ties, meaning to better connect VLBI and GPS in establishing the most precise coordinate system of the Earth. The University of Tasmania is leading efforts towards realising this exciting new observing technique, supported by the Australian Research Council with project funds and a PhD scholarship.

This project includes work on VLBI observations to satellites and spacecraft, perform the observations, process the data and analyse results. The candidate should resolve current issues with signal strengths and receiver characteristics and develop new processing chains, in order to exceed current accuracies.

The successful candidate should be prepared to work in developing existing programs and software, as well as responsibly use the University’s radio telescopes. She/he is expected to perform independent research, assisted by the supervisory team. The project further offers the opportunity to take an active role in supporting daily operations as part of a global telescope network.

Eligibility

Candidates from a variety of disciplines backgrounds are eligible to apply. The following eligibility criteria apply to this project:

  • BSc in Earth Sciences/Geosciences
  • The scholarship is open to domestic (Australian and New Zealand) and international candidates;
  • Good written and verbal scientific communication skills
  • The degree must be undertaken on a full-time basis;
  • Applicants must already have been awarded a First Class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector;
  • Applicants must be able to demonstrate strong research and analytical skills.
Selection Criteria
  • Education in geodesy and spatial sciences.
  • Familiarity with space geodetic techniques.
  • Education in Physics or Astronomy.
  • Knowledge of Linux and good programming/software skills.
Assessment Criteria

Applicants will be assessed and ranked according to the quality of their basis for entry research degree and institution, prior peer reviewed publications, academic awards, project-specific skills, training or relevant industry experience, referee’s reports and supervisory support.

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Guifre Molera Calves for further information.

Closing Date

31st December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

Markov-modulated fluid queues, in which the amount of customers/data in a buffer is modelled using a continuous variable, have been studied extensively via matrix-analytic methods. In the analysis of networks of fluid queues however, the results for a few special two-node cases could only be obtained. However, the operator-analytic methods, a generalization of the matrix-analytic methods for single queues, is a promising approach that could lead to novel numerical schemes.

An example is a system of two fluid queues, with contents that are being driven by a background Markov chain in such a way that the content of the second queue also depends on the content of the first queue. The main questions in this context are: (i) how complex can we allow such models to be, while still being able to find the joint stationary distribution, and (ii) what approximations can be devised in cases where analytic solutions are not possible.

This project will focus on theory and algorithms for the analysis of stochastic fluid networks, and is an exciting opportunity to contribute to the advancements in this field. You will work on simulations, theoretical models, and algorithms.

The following eligibility criteria apply to this scholarship:
  • The scholarship is open to Australian and New Zealand (domestic) candidates and to International candidates.
  • Research must be undertaken on a full-time basis.
  • Applicants must already have been awarded a first-class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector. See the following web page for entry requirements: http://www.utas.edu.au/research/degrees/what-is-a-research-degree
  • Applicants must be able to demonstrate strong technical, research and analytical skills.
  • Applicants must have good oral and verbal communication skills.
Candidates from the following disciplinary backgrounds are encouraged to apply. Knowledge and skills that will be ranked highly include:
  • Knowledge and skills in applied probability, probabilistic operations research, statistics or related area is required.
  • Degree-level undergraduate education in maths or a related subject.
  • Knowledge and skills in simulation and coding or related area is required.
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Malgorzata O'Reilly, for further information.

Closing Date

31st December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

This project will focus on developing stochastic models for the analysis of health care systems. and is an exciting opportunity to contribute to the improvement of the management of health care systems. We aim to develop of a suite of algorithmic techniques and make the code publicly available to the research community.

You will work on simulation and/or theoretical models using statistical analysis of real data. You will have an opportunity to be part of a rich collaborative environment and interact with mathematicians and clinicians involved in health care modelling.

The following eligibility criteria apply to this scholarship:
  • The scholarship is open to Australian and New Zealand (domestic) candidates and to International candidates.
  • Research must be undertaken on a full-time basis.
  • Applicants must already have been awarded a first-class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector. See the following web page for entry requirements: http://www.utas.edu.au/research/degrees/what-is-a-research-degree
  • Applicants must be able to demonstrate strong technical, research and analytical skills.
  • Applicants must have good oral and verbal communication skills.
Candidates from the following disciplinary backgrounds are encouraged to apply. Knowledge and skills that will be ranked highly include:
  • Knowledge and skills in applied probability, probabilistic operations research, statistics or related area is required.
  • Degree-level undergraduate education in maths or a related subject.
  • Knowledge and skills in simulation and coding or related area is required.
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Malgorzata O'Reilly, for further information.

Closing Date

31st December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

In populations of endangered species, management strategies referred to as genetic rescue have been advocated in order to help avoid extinction. An example of considerable concern in the Australian context is the conservation management of Tasmanian Devils suffering from the Devil Facial Tumour Disease (DFTD), which puts them in danger of extinction. Conservation strategies have been used with the hope of increasing the genetic diversity of the wild population, but this remains a challenging problem. An important factor in this context is the ability to assess the impact of conservation efforts.

This project will focus on developing models for the numerical assessment of conservation strategies, and is an exciting opportunity to help make a difference. We aim to develop of a suite of algorithmic techniques and make the code publicly available to the research community.

You will work on simulation and/or theoretical models using statistical analysis of real data. You will have an opportunity to be part of a rich collaborative environment and interact with mathematicians and biologists studying the wild populations of Tasmanian Devils.

Eligibility
  • The project is open to Australian and New Zealand (domestic) candidates and to International candidates
  • Research must be undertaken on a full-time basis
  • Applicants must already have been awarded a first class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills
  • Knowledge and skills in applied probability, probabilistic operations research, statistics or related area is required
  • Knowledge and skills in simulation and coding or related area is required

Candidates from the following disciplinary backgrounds are encouraged to apply.  Knowledge and skills that will be ranked highly include:

  • Degree-level undergraduate education in maths or a related subject
  • Knowledge and skills in biological mathematics, evolutionary genetics or related area will be highly regarded

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Malgorzata O'Reilly for further information.

Closing Date

13 October 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

This project aims to synthesise knowledge and develop seismic tools which will characterise the basement beneath the East Antarctic Ice sheets in order to provide more robust constraints for ice sheet models at basin and continental scales. Important factors including elevation, slope angle, sedimentary basins and the presence of water. A significant component of the project will be a compilation of existing seismic and other geophysical and spatial data from across East Antarctica. This will involve communication with other Antarctic nations with a significant presence in East Antarctica to form an improved GIS database. The ongoing research will then take the form of computer simulations of seismic waveforms, and a comparison to likely ice-rock scenarios beneath major ice sheets.

At UTAS the successful applicant will join one of the leading international groups that use seismology to investigate Earth environment systems. The research environment within Physics at UTAS is a vibrant and supportive place to develop geophysics, applied mathematics, and computational physics skills with real-world applications and strong links to the Institute of Marine and Antarctic Studies. While the research for this project is computer-based, there may be opportunities to travel to Antarctica on partner projects for suitably skilled applicants.

Eligibility:

The following eligibility criteria apply to this scholarship:

  • The scholarship is open to Australian and New Zealand (domestic) candidates and to International candidates.
  • Research must be undertaken on a full-time basis.
  • Applicants must already have been awarded a first class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector.
  • Applicants must be able to demonstrate strong research and analytical skills.

Candidates from the following disciplinary backgrounds are encouraged to apply. Knowledge and skills that will be ranked highly include:

  • Degree-level undergraduate education in geophysics, physics or applied mathematics or related fields
  • Experience with GIS-type computing environments and scientific computing
  • Aptitude for high-performance computing

Aptitude for interdisciplinary collaboration

More Information

For more information contact the Primary Supervisor, Professor Anya Reading, School of Natural Sciences (Physics), for further information.

Closing Date

31st December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

Value and Duration

This scholarship provides $27.596 (2019 rate) living allowance for 3.5 years, with no possible extension, co-funded by Auscope and College of Science and Engineering.

The Research Project

Under contract with Geoscience Australia, UTAS operates a continental-wide network of geodetic Very Long Baseline Interferometry (VLBI) telescopes. Our antennas in Katherine (NT), Yarragadee (WA) and Hobart (TAS) contribute to measuring global reference frames and Earth orientation such as polar motion and the rotational speed of the Earth. The next generation VLBI Global Observing System (VGOS), comprising new broadband receivers is expected to improve the current measurement precision from the centimetre level to a few millimetres or better.  

The main research goal is the improvement of the current precision of Australian VLBI sessions from about one centimetre to the millimetre level. While the successful candidate is expected to pursue her/his independent research, testing new modes, optimising the allocated frequency bands and developing new correlation and fringe-fitting procedures are possible areas of research.The successful candidate will support the implementation of the VGOS system for the AuScope VLBI antennas and conduct Australian VGOS observations.

This project includes a lot of technical work, hence the candidate should not be afraid of using new programs. The candidate will further have an opportunity to actively test the solutions they identify through taking an active role in supporting the AuScope operations.

Eligibility
  • The scholarship is open to domestic (Australian and New Zealand) and international candidates
  • Applicants must already have been awarded a Masters degree or First Class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • A good level of spoken and written English is necessary for this project

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Scholarship Assessment Criteria
  • Education in geodesy and spatial sciences. Familiarity with space geodetic techniques is welcome
  • Education in Physics or Astronomy
  • Experience with Linux and software development
  • Signal processing
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Lucia McCallum for further information.

Closing Date

31st December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

The Tasmanian Convict Conduct records are internationally recognized: in 2007 they were placed on the UNESCO Memory of the World Register.  This very detailed resource includes every court encounter a convict had over the course of their sentence, between approximately 1804 and 1904.
These beautiful, hand-written documents are invaluable as they allow researchers to reconstruct a detailed history of offending and punishment in 19th Century Tasmania.  
A dedicated team of volunteers has, over several years, painstakingly digitised more than one hundred thousand of these records, but there are many more.
The transcription task is made difficult by the age of the documents, and the individual writing hand of each clerk writing them.  It will be a huge improvement to automate this transcription.

This project will develop statistical machine learning tools, using the already transcribed records as training data, to identify what was written from high resolution scans of the remaining approximately 450 thousand records.  The machine learner will exploit known structures in the documents: for example, predictable positions of dates and personal names, and particular terminology.  These features will be used to guide most likely meaning of each record, and will be validated against the already transcribed records.

Eligibility
  • The successful student for this project will have a background in mathematics or statistics, and at least a basic skill in scripting, e.g., with Python or R

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Michael Charleston for further information.

Closing Date

30th June 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

Eucalypts are keystone species in numerous Australian ecosystems, many of which are under threat. Ecological restoration programs must maximise the capacity of regenerating ecosystems to survive and thrive in a changing climate. One consideration is the adaptive potential of the genetic material being used.

The University of Tasmania has partnered with Greening Australia to establish a series of large, long-term genetic provenance trials in the degraded agricultural landscapes of the midlands of Tasmania. Using these field trials and wild populations of native Eucalyptus species, this research project will combine computer modelling with genomic, morphometric and climate data to assess adaptive capacity of eucalypts and test seed sourcing strategies that promote survival and optimise performance of ecological restoration plantings.

This interdisciplinary project offers an excellent opportunity to contribute to real world science using advanced DNA technologies, traditional quantitative genetic and functional trait analyses, and novel computer-modelling approaches.

Eligibility
  • Experience or interest in genomics and bioinformatics
  • Experience or interest in computer modelling and R-based data analysis
  • Excellent written and verbal scientific communication skills
  • Ability to work independently and as part of a research team
  • Current driving license and a willingness to work in remote field areas
  • Applicants from the variety of disciplines are eligible to apply

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • First class honours (or masters by research) in a relevant field (e.g., genetics, genomics, computer modelling)
  • At least one publication in a high quality peer-reviewed scientific journal
  • Experience with coding (preferably in R)
  • A sound understanding of genetics and genomics
  • High standard of English
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Dorothy Steane for further information.

Closing Date

31 December 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

Funding

This project includes substantial operational funds and logistical support, funded by a five year Australian Research Council (ARC) grant to Professor Barry Brook (ARC Australian Laureate Fellow).

An additional top-up award of AUD$5,000pa will also be considered for outstanding applicants.

The Research Project

The University of Tasmania has world-leading research strengths in eco-evolutionary dynamics, ecosystem science and the impacts of global change on biodiversity. This project will use a combined approach to analyse, model and forecast the impact of different drivers of land-use change on biodiversity at local to regional scales.

The PhD project will involve field work, compilation and analysis of existing information (historical and database sources), and development of new meta-modelling approaches to assess biodiversity responses. A key outcome of the research will be to help develop solutions that resolve inherent trade-offs between ongoing human development and the competing need to protect habitats, ecosystems, and species. This vexed problem is highly relevant to Tasmania (and Australia more broadly), given the newsworthy issues surrounding the need to balance the socio-economic benefits of forestry and hydropower with the natural heritage and tourism-related values embodied in its World Heritage forested lands.

Eligibility

The following eligibility criteria apply to this project:

  • The project is open to Australian (domestic) and International candidates
  • The PhD must be undertaken on a full-time basis
  • Applicants must already have been awarded a first class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills

Candidates from a variety of disciplinary backgrounds are encouraged to apply. Knowledge and skills that are particularly desirable and will be ranked highly include:

  • Ecological, evolutionary or conservation biology theory and practice (including fieldwork)
  • Experience in ecological modelling, programming, and/or statistical coding
  • Geographical Information Systems and Remote sensing, database management

More Information

Please contact Professor Barry Brook for more information.

Closing Date

1st March 2020*

Applicants should contact the primary supervisor (david.bowman@utas.edu.au), and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

Tasmania is world-renowned for tall Eucalyptus forests. In early 2019, vast areas of forest in southern Tasmanian were burnt by very large bushfires ignited by dry lightning storms. There is great uncertainty about the ecological and broader impacts of these fires on tall wet eucalypt forests.  To understand the impact of the fires on forest trees and carbon emissions we will use a combination of remote sensing and field survey to assess the impacts of these fires. 

The study builds on permanent forest plots established at the Warra Long-Term Ecological Research site and a rare (and novel for eucalypt forest) combination of pre- and post-fire lidar surveys.  These studies are of critical importance in the development of cost-effective fire severity mapping in Eucalyptus forests, will help shape fire management policy in both Tasmania and Australia, and will contribute to global climate modeling by improving emissions estimates from eucalypt bushfires.  

The research is strongly supported by a spectrum of Tasmanian Government agencies with a stake in managing Eucalyptus forests (Tasmania Fire Service, Tasmanian Parks and Wildlife, Department of Primary Industries, Parks, Water and Environment and Sustainable Timber Tasmania).  The research is supported by a Bushfire and Natural Hazard Cooperative Research Centre Tactical Grant.

Eligibility
  • The project is open to Australian and New Zealand (domestic) candidates and to International candidates
  • Research must be undertaken on a full-time basis
  • Applicants must already have been awarded a first-class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills
  • The student will need to be physically fit and mobile to undertake field work

Applicants from the following disciplines are eligible to apply:

  • Degree-level undergraduate education in ecology, environmental sciences or geography or a related subject with experience in geographic information systems.

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, David Bowman for further information.

Closing Date

30th October 2019 

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

This project will identify areas of fire refugia in Tasmania and how these relate to one of the most precious components of the Tasmania biota: the palaeo-endemic flora. It will be built around a combination of modelling and field work and will contribute directly to the management of these important areas and plants.

The western Tasmania wilderness areas have small globally important centres for palaeo-endemic plants, including important Gondwanan relicts. The palaeo-endemics are mostly susceptible to fire and mainly persist in fire refugia: small areas of the landscape with topographic and climatic protection from fire. This project would develop a geospatial model to identify fire refugia and then link the model to the palaeo-endemics, resulting in a map to help fire managers to prioritise areas to protect in the case of wilderness fires.

Hotter and drier future climates will have a detrimental impact on fire refugia, but some areas should be more resilient in the long term. The project will therefore project the model of refugia into the future to help understand the effect of climate change on the viability of refugia. It will use reserve design prioritisation approaches to rank the fire refugia from most to least vulnerable.

Eligibility
  • The scholarship is open to Australian and New Zealand (domestic) candidates and to International candidates
  • Research must be undertaken on a full-time basis
  • Applicants must already have been awarded a first class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector, especially ecology
  • Applicants must be able to demonstrate strong research and analytical skills
  • The student will need to be physically fit and mobile to undertake field work
  • Applicants from variety of disciplines are eligible to apply

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • Quality of academic record
  • Quality of publication record
  • Experience in ecological field work
  • Expertise in ecological modelling/analysis of ecological data
  • Ability to commence in 2019
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact Greg Jordan for further information.

Closing Date

1st December 2019*

Applicants should contact the primary supervisor (david.bowman@utas.edu.au), and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

The City of Hobart, capital of the Australian island State of Tasmania, has high vulnerability to catastrophic wildfire. This risk profile reflects a constellation of biophysical and social geographic factors including a highly flammable landscape, extensive urban-bushland fringe, poor social engagement with bushfire risk, aging housing stock that is not compliant with modern bushfire building and planning codes, and pockets of socio-economic disadvantage, and under-insurance patterns that cut across low and middle Australian households.

In this project we will use a mix of qualitative and quantitative social research combined with biophysical and geospatial modelling of fire risk to assess human vulnerability to bushfire. We will contextualise this research globally by ensuring we are following comparable social and biophysical approaches that have been developed elsewhere in Australia and in North America. Our research will lead to policy recommendations to the City of Hobart to increase community and individual household resilience to bushfire. This project will develop approaches that can be applied to other Local Government Areas in Tasmania and elsewhere.

Experience and skills that will be ranked highly include:
Degree-level undergraduate education in ecology, environmental sciences or geography or a related subject; Experience in geographic information systems.

Eligibility
  • The student will need to be physically fit and mobile to undertake field work
  • The project is open to Australian and New Zealand (domestic) candidates and to International candidates
  • Research must be undertaken on a full-time basis
  • Applicants must already have been awarded a first-class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, David Bowman for further information.

Closing Date

31st December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

Knowledge of species' responses to past climate change can be used to predict their resilience to current and projected climate change. However, species have varying sensitivity to environmental stressors. Therefore, to identify which species track the impact of environmental change in the past, with a view to monitoring in the present and predicting the future, we must assess a variety of taxa. This project addresses a key knowledge gap for Antarctic biota by genetically assessing responses of 6 flighted seabird species to past climate change, and combining these with inferences already made for penguins and seals in a meta-analysis. Knowledge of the spatial distribution of genetic variation can also guide the selection of Antarctic Specially Protected Areas through the identification of populations that are demographically-independent, represent long-term refugia, or contain genetic (and potentially taxonomic) novelty.

Eligibility:

The following eligibility criteria apply to this scholarship:

  • The scholarship is open to Australian and New Zealand (domestic) candidates and to International candidates.
  • Research must be undertaken on a full-time basis.
  • Applicants must already have been awarded a first class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector.
  • Applicants must be able to demonstrate strong research and analytical skills.
  • An ability to perform and interpret population genetics analyses is highly desirable

Candidates from the following disciplinary backgrounds are encouraged to apply. Knowledge and skills that will be ranked highly include:

  • Honours/MSc degree in population genetics or phylogenetics
  • Degree-level undergraduate education in biology
  • Interpersonal communication skills
  • Time management
  • Ability to work both independently, and as part of a team

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact the Primary Supervisor, Dr Chris Burridge, School of Natural Sciences (Discipline of Biology), for further information.

Closing Date

1st December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

Some of the most important wildlife diseases are caused by environmentally transmitted parasites. Yet, solutions to remain elusive and a major frontier in disease ecology, despite decades of research. Emblematic of this broad issue is sarcoptic mange disease of wombats. Sarcoptic mange, caused by the parasitic mite Sarcoptes scabiei, is the most important disease of wombats. The parasite (introduced to Australia by European settlers and their domestic animals) causes significant animal welfare issues to wombats, and occasional local conservation issues. Owing to welfare concerns and the visible nature of diseased wombats, many individuals and community groups across Australia are attempting to manage mange disease, but significant knowledge gaps and feasibility issues limit attempts.

This disease ecology focused PhD project seeks to address these issues by tackling two major themes: (1) developing a deeper understanding of the transmission of S. scabiei, which is widely considered to occur via the suitable environment in wombat burrows; and (2) test new treatment strategies for mange control in wombats, building upon existing knowledge, modelling and empirical data generated in this thesis. Additional project directions will also be considered, dependent upon the expertise of the applicant.

Eligibility
  • The successful applicant will have strong interest, and ideally background, in wildlife disease issues and solutions to those
  • Well-rounded applicants with who have an enthusiastic and realistic appreciation of the full suite of skills necessary to become an early career scientist (organisation, logistics, fieldwork, lab work, modelling, writing, publishing, presenting, etc.) are encouraged to apply
  • The successful applicant will be expected to demonstrate innovative thinking and problem-solving skills, and capacity to take projects from inception to publication
  • The successful applicant must also have a postgraduate qualification to be eligible for this PhD. They will join a diverse and multidisciplinary team studying a range of wildlife and disease ecology issues in Scott Carver's laboratory

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Scott Carver for further information.

Closing Date

27th September 2019 

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

The Tasmanian devil is threatened with extinction by the spread of a transmissible cancer, Devil Facial Tumour Disease (DFTD). Devil populations have been dramatically decimated in up to 90% across almost the entire species range. Disease transmission is driven by social interactions and biting behaviour, which increase during the mating season with a strong feedback on individual's physiology.

In this context, behaviour, stress and immunological condition of devils are expected to interact and influence patterns of transmission and spread of DFTD within and among devil populations driving the ecology and eventual evolution of the devil-DFTD system.

This project integrates disciplines from behavioural ecology, epidemiology, veterinary sciences and social networks modelling. The successful applicant will gain/enhance skills in field-based research, laboratory techniques and quantitative modelling approaches.

Eligibility
  • The scholarship is open to Australian and New Zealand (domestic) candidates and to International candidates
  • Research must be undertaken on a full-time basis
  • Applicants must already have been awarded a first-class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills

Applicants from the following disciplines are eligible to apply:

  • Ecology
  • Zoology
  • Veterinary

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • A good understanding of the field of ecology and background or interest in physiology and immunology
  • High level quantitative skills
  • Good written and verbal scientific communication skills
  • Ability to work as part of an interdisciplinary research team
  • Proven ability to work individually in remote locations including supervising volunteer field assistants. Current driving licence, prefer manual and 4WD experience
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Menna Jones for further information.

Closing Date

31 December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

A collection of private (e.g., Electrolytic Zincworks) and government bodies (e.g., Hydro-Electric Commission) chose to build factories and stations in Tasmania due to its geographic and socioeconomic landscapes. These same factors encouraged the construction of housing for workers. Due to their inherently controlled design and construction processes and often overt ideological framing, company housing schemes offers ideal vehicles through which to interrogate design objectives including formal variety, linguistic coherence, and typological tolerance. This project will involve work in archives and in the field, analysis of texts, production of analytical drawings and other visualisations, and the generation of arguments related to rationalisation and house design. Outputs will include curated exhibitions, visual analyses, and scholarly papers.

Eligibility

The following eligibility criteria apply to this project:

  • The scholarship is open to domestic (Australian and New Zealand) and international candidates
  • The degree must be undertaken on a full-time basis
  • Applicants must already have been awarded a First Class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills

Candidates from a variety of disciplinary backgrounds are encouraged to apply.

More Information

Please contact Dr Andrew Steen or Dr Helen Norrie for more information.

Closing Date

1st January 2021*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

Associate Professor David Beynon invites expressions of interest from those thinking of undertaking a PhD into the cultural, historical and compositional dimensions of architecture.

Dave’s research involves investigating, and adaptations of architectural content and meaning in relation to urban renewal, migration, and multicultural/intercultural aspects of architecture and built environments.  Areas of possible thesis investigation within the project include:

  • Architecture, migration and changing built environments
  • Alternative Architectural Histories, particularly in relation to notions of modernity and postcoloniality
  • Inter-Regional Architectural Futures: Analysing parallels between Tasmania and other Asia-Pacific locations
  • Digital Heritage: Developing modelling and visualisation technologies for interpreting and visualising ancient and historic architectures
  • Ex-Industrial Built Environments: Developing the cultural and practical re-purposing for a post-industrial future.

Explorations may employ historiographic, discursive or creative methods. Depending on your individual research topic, potential co-supervisors may include: Dr Georgia Lindsay; Dr Helen Norrie; Dr Mark Sawyer; Dr Louise Wallis; Professor Julian Worrall

If your topic brings a specific interdisciplinary focus to the above area, co-supervision might also include academics from Geography and Spatial Science, Information and Communication Technology or Arts and Social Sciences.

Eligibility
  • The project is open to domestic (Australian and New Zealand) and international candidates
  • The degree can be undertaken on a full-time or part-time basis
  • Applicants must already have been awarded a First Class Honours degree or hold equivalent qualifications or relevant and substantial academic research experience evidenced by peer-reviewed publications
  • Applicants must be able to demonstrate strong research and analytical skills

While candidates from other disciplinary backgrounds are encouraged to apply, knowledge and skills that will be ranked highly include:

  • Background in architecture, urban design, urban planning or related social sciences. Depending on which area of investigation you are focusing on, background in cultural studies, digital modelling, archaeology or particular regional studies may be advantageous
  • Demonstrated capacity in critical thinking
  • Evidence of an ability to understand, apply and critique theory

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, David Beynon for further information.

Closing Date

31 December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

Like many examples of its kind, the Tasmanian Department of Housing actively addressed social and economic issues in the post-war period through social housing policy. The architects and bureaucrats charged with catering for demographic shifts and increased urbanisation approached their task with strategic intent. This project will look to articulate their intent, and examine the effectiveness of their processes – both in terms of methodology and designs. It will look back at the history of social housing in post-war Tasmania with ambitions of uncovering a set of guidelines to influence current policy on affordable housing. The methodology of this project will involve archival research, and may include design–research or other social-science practices.

Eligibility

The following eligibility criteria apply to this project:

  • The scholarship is open to domestic (Australian and New Zealand) and international candidates
  • The degree must be undertaken on a full-time basis
  • Applicants must already have been awarded a First Class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills

Candidates from a variety of disciplinary backgrounds are encouraged to apply.

More Information

Please contact Dr Andrew Steen or Dr Helen Norrie for more information.

Closing Date

1st January 2021*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

The University of Tasmania is undertaking a development project, shifting towards engaging closely with central business districts and connecting more closely with communities. According to the website, the new campuses built under the Northern Transformation Project (NTP) “will become central to the life of each city and region – vibrant places where the community, business and industry, and the University can connect and collaborate.”

This project will use the NTP as the topic and site of research. Students could propose projects to work with a variety of Architecture and Design staff, including:

  • Work with Dr. Georgia Lindsay on understanding the social outcomes of the building project. Georgia’s research focuses on how institutions use buildings to create identity and branding, to connect with community, and to educate. She welcomes project proposals in that realm.
  • Work with Dr. Mark Sawyer to articulate how the NTP has developed through various forms of ‘media-construction’ in the public realm, even before any building has begun. Mark’s research considers how the development of buildings and cities is understood by representations in the media. He welcomes proposals addressing this area of interest.
  • Work with Dr. David Beynon on exploring the cultural implications of transforming built environments, focusing on post-industrial landscapes as foundations for redefining the futures of regional cities, and the roles of art, architecture and communities in the transformation process.
Eligibility
  • Applicants must be able to demonstrate strong research and analytical skills
  • Ability to create a compelling proposal and expression of interest
  • Background in social science, media studies, or design fields
  • Demonstrated capacity in critical thinking
  • Evidence of an ability to understand, apply and critique theory

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Georgia Lindsay for further information.

Closing Date

1st January 2021*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

Green building certification systems, such as LEED for Schools and the Living Building Challenge, encourage design teams to use green buildings as educational "teaching tools." However, we have much yet to learn about the social performance of green buildings and how to engage occupants in the sustainability narrative of buildings. This project seeks to remedy that gap through understanding the mediated meanings of sustainable building features. 

Dr. Georgia Lindsay has been studying the problem using green museums in the US. Increasingly, museums are using green-building construction practices for new buildings, and some go so far as to consider the surrounding landscape as part of the museum's "collection" to be preserved. Moreover, with the growth of the Green Economy, sustainability has a cache among institutions and businesses seeking to build green branding. Science museums, especially those with green buildings, are uniquely positioned to advance architectural literacy while communicating the values of earth stewardship to the general public.

Georgia invites expressions of interest from those interested in pursuing research about how architecture communicates sustainability. Topics might include green museums in a global or Australian context, sustainability communication in building types other than museums, and how to invest architecture with legible pedagogical content. Please note, while this project has aspects that strongly align with the technical side of building science, projects should propose move beyond the merely technical to engage in some way with the social or communicative aspects of green buildings.

Eligibility
  • The project is open to domestic (Australian and New Zealand) and international candidates
  • Applicants must be able to demonstrate strong research and analytical skills
  • Ability to create a compelling proposal and expression of interest
  • Background in social science or design fields
  • Demonstrated capacity in critical thinking
  • Evidence of an ability to understand, apply and critique theory

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Georgia Lindsay for further information.

Closing Date

1st January 2021*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

Dr. Georgia Lindsay invites expressions of interest from those interested in undertaking a PhD. Broadly speaking, Georgia's research emphasizes the human side of design, including pre-occupancy analysis and programming, use and behaviour-focused post-occupancy evaluation, and studying the meaning and effects of architecture. More specifically, her work focuses on museum buildings, and how architecture is used by institutions and cities to communicate values and brand places. 

Working with Georgia will allow you to define and develop your own area of focus. Some general areas might include:

  • Making meaning within constructed ecologies – projects that help frame and analyse how sustainable building features   are used and understood
  • Understanding and responding to participatory practices in design  – studies relating to stakeholder and community needs, including addressing mixed methods for both engagement and data collection practices
  • Branding and communication – projects investigating the social uses  and meanings inherent in architecture and design at a variety of levels of analysis

Students work with supervisory teams of at least two, and other supervisors might include David Beynon, Julian Worrell, or Ceridwen Owen.

Eligibility
  • Applicants must be able to demonstrate strong research and analytical skills
  • Ability to create a compelling proposal and expression of interest
  • Background in social science or design fields
  • Demonstrated capacity in critical thinking
  • Evidence of an ability to understand, apply and critique theory

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Georgia Lindsay for further information.

Closing Date

31 December 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

Governments and communities have invested large amounts of project funds and efforts in vulnerability assessment and planning for adaptation to climate change. This research project investigates the long term effectiveness of this investment in improvement of resilience, reduction of vulnerability, and effectiveness of the adaptation options.

Eligibility

Please refer to the Entry Requirements for a Doctor of Philosophy degree.

Candidates from a variety of disciplinary backgrounds are encouraged to apply.

More Information

Please contact Joanna Ellison for more information.

Closing Date

28th February 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

Antarctica continues to deform as a result of past and present surface loading changes, especially ice loading changes, and Earthquake-related effects. Over the last 10 years, Global Positioning System (GPS) receivers have been increasingly deployed in Antarctica to measure surface deformation. These data are now yielding sufficiently precise surface velocity time series to be able to separate competing models and in doing so learn new things about the interior of the Earth and the past ice loading history.

This project will focus on the analysis of GPS data with state-of-the-art techniques in order to better understand the deformation of Antarctica. It will apply novel techniques to remove time series noise and compare these to numerical models developed from existing codes and from outputs provided by third parties. These results will be important for understanding present-day ice-sheet contribution to sea-level rise and in gaining fundamental understanding into the interior of the Earth. The project will provide students with advanced skills in numerical analysis, interpretation and presentation.

Eligibility
  • 1st class Honours degree, or overseas equivalent, in a relevant field
  • Nationals of Crimea Region of Ukraine, Cuba, Iran, North Korea, Syria are unfortunately unable to apply due to software restrictions
  • Applications are invited from qualified individuals from all other nations, including Australia

Applicants from the following disciplines are eligible to apply:

  • Quantitative Earth Sciences
  • Mathematics
  • Physics
  • Geodesy
  • Engineering

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • A track record of publication of research results in international journals
  • Proven ability to work within a team as well as independently
  • Experience of geodetic GNSS software (desirable)
  • Willingness to learn new skills and competencies
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Matt King for further information.

Closing Date

30 May 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

Dr Kate Booth is inviting expressions of interest from those interested in undertaking a PhD. Located within one of the strongest geography schools in Australia, potential co-supervisors include:

Kate’s research is underpinned by an interest in place and places and the possibility of political dissent. Her work spans economic, social and cultural geography, and planning. She supervises students with a wide range of perspectives and topics. Working with Kate will allow you to define and develop your own area of interest. In addition, joining Kate’s team provides access to:

  • Tourism Tracer – world-first tracking and survey data of tourist movements within Tasmania. This rich dataset offers opportunity for analysis and critical interpretation in light of theories of space and place, mobility studies, and science and technology studies. Tourism Tracer is led by Dr Anne Hardy (University of Tasmania).
  • When Disaster Strikes: Geographies of Under-insurance – ground breaking research on the co-production of insurance in everyday life and in the context of socio-natural change. Team members: Dr Kate Booth, Professor Bruce Tranter and Chloe Lucas (University of Tasmania), Dr Christine Eriksen and Dr Eliza de Vet (University of Wollongong), and Associate Professor Shaun French (University of Nottingham, UK).

Eligibility

The following eligibility criteria apply to this project:

  • The project is open to domestic (Australian and New Zealand) and international candidates
  • The degree can be undertaken on a full-time or part-time basis
  • Applicants must already have been awarded a First Class Honours degree or hold equivalent qualifications or relevant and substantial academic research experience evidenced by peer-reviewed publications
  • Applicants must be able to demonstrate strong research and analytical skills

Candidates from a variety of disciplinary backgrounds are encouraged to apply. Knowledge and skills that will be ranked highly include:

  • Background in human geography
  • Demonstrated capacity in critical thinking
  • Evidence of an ability to understand, apply and critique theory

More Information

Please contact Dr Kate Booth for more information.

Closing Date

13th December 2019 

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

The global community agrees that while mitigation remains one part of the climate solution, adaptation is now an essential component of living with climate change. Cities and regions must confront the realities of living with climate change and collectively developing adaptation pathways that allow communities to be resilient and responsive to the types of impacts and change they will experience as a routine part of life.

Addressing this risk is a challenge, but it is not insurmountable – coordinated action based on best available knowledge will allow society to be ‘climate ready’ as it faces higher frequency of extreme events and increasingly hostile climate conditions. Adaptation pathways are one way of identifying and planning for the changes that communities will have to make in the face of change.

This PhD will focus on methods for mapping adaptation pathways (e.g., through participatory workshops, spatial mapping of risks and responses), and implementing these in practice to identify regional adaptation pathways for a range of climate risks.  Possible risks for consideration include exposure to increased bushfire risk in the peri-urban fringe or flooding in the coastal zone. Outcomes from this PhD research will include:

  1. Identification of adaptation pathways for managing risk;
  2. Collaborative engagement with key stakeholders (e.g. Hobart City Council, State Government agencies) to integrate these pathways into region-wide climate change adaptation plans;
  3. Improved understanding of the policy processes and enabling conditions required to support integration of these pathways into ‘normal business’;
  4. A regional network of collaborative relationships between decision-makers across relevant sectors to support coordinated action on climate change adaptation.

PhD supervisory team will include co-supervisors Dr Rebecca Harris, Professor Jason Byrne, and Professor Jan McDonald.

Eligibility
  • Degree-level undergraduate education in geography, planning, conservation, law, economics, spatial sciences, ecology or a related subject
  • Demonstrated experience working with a range of stakeholders (e.g. local government) (desirable)
  • Social science and/or science communication related training (desirable)
  • Strong written and verbal communication skills (desirable)
  • Spatial analysis skills (e.g. training in GIS, remote sensing) (desirable)

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • Applicants will be assessed and ranked according to the quality of their basis for entry research degree and institution, prior peer-reviewed publications, academic awards, project-specific skills, training or relevant industry experience, referee’s reports and supervisory support
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact Vanessa Adams for further information.

Closing Date

18th December 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

The concept of place attachment describes how strongly people connect to place to distinguish between the physical resources provided by place (dependence) and the emotional and symbolic relationships people form with place (identity). Over the past decade, the measurement and mapping of the core dimensions of place attachment has been initiated through the concept of landscape values, thereby operationalising the place concept for land-use planning at multiple spatial scales. The mapping of landscape values has emerged as a key research method for identifying important areas for conservation and sustainable development but has yet to be explored in the context of places at risk of loss from climate change.

The impacts of climate are inherently spatial and the effects will be felt heterogeneously across a population both due to the spatial location of impacts and the socio-demographics of the population. This PhD project will examine concept of ‘place’ and what types of responses of loss may be felt by the community as places are impacted. This may include approaches such as mapping landscape values with public participatory GIS (PPGIS), qualitative interviews to understand why particular places are significant, surveys or interviews to explore what experiences of loss the population has experienced as places have been impacted historically, and spatial mapping of how predicted impacts of climate change overlap with landscape values.

Supervisory team will include co-supervisors Dr Rebecca Harris, Distinguished Professor Jamie Kirkpatrick, Professor Elizabeth Lester
External collaborators include Distinguished Professor Greg Brown

Eligibility
  • Degree-level undergraduate education in conservation, ecology, economics, geography, spatial sciences or a related subject
  • Spatial analysis skills (e.g. training in GIS, remote sensing) (desirable)
  • Statistical analysis skills (desirable)
  • Social science or communications related training (desirable)
  • Strong written and verbal communication skills
  • Applicants from variety of disciplines are eligible to apply

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • Applicants will be assessed and ranked according to the quality of their basis for entry research degree and institution, prior peer-reviewed publications, academic awards, project-specific skills, training or relevant industry experience, referee’s reports and supervisory support.
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact Vanessa Adams for further information.

Closing Date

30th June 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

This project will tackle the strategic management of environmental risks such as invasive plants with a particular focus of invasive plants in the Kimberley region. The project will aim to identify optimal management strategies for management of weeds that increase management costs and pose risks to biodiversity and traditional use. To tackle this challenge we will undertake a Rapid Prototyping exercise (Blomquist 2010) to identify focal weeds that pose the greatest combined challenge for multiple species and objectives (including management cost, biodiversity risks and traditional values), and where the greatest long term benefits could be achieved (e.g. through eradication) across the region.

This project is in collaboration with the Department of Biodiversity, Conservation and Attractions (main co-supervisor Megan Barnes).  We will collaboratively formulate management alternatives with Kimberley staff, local managers from other agencies and other stakeholders, to inform a scenario analysis approach underpinned by an existing general spread risk model (Adams 2015, Adams 2016) parameterised with Kimberley and invasive species experts to inform identification of optimal management strategies and key risks.

Eligibility
  • Quantitative modelling and statistical skills
  • Spatial analysis skills and familiarity with ArcGIS
  • Familiarity with programming languages such as Java are favourably weighted

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Vanessa Adams for further information.

Closing Date

31st December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

Dr Dave Kendal is seeking expressions of interest from prospective RHD students interested in understanding how and why we can better incorporate the community into environmental/nature policy and management decision-making. Global, national and local nature conservation policy has been through a period of being heavily framed as scientific, rational and evidence based. However, this framing largely excludes other ways of knowing nature, and the wide variety of ways that nature is important to people. Much public policy is being reframed to incorporate a wide range of values of the public, and management decision-making is increasingly including objectives other than species conservation and biodiversity protection. Dave has been a member of Australia's Threatened Species Scientific Committee and has a broad range of experiences managing research projects and supervising RHD students exploring topics related to public involvement in nature conservation.

Potential co-supervisors within Geography include: Prof Jason Byrne, Prof Jamie Kirkpatrick, A/Prof Aidan Davison, Dr Vanessa Adams, Dr Rebecca Harris

Eligibility:

The following eligibility criteria apply to this scholarship:

  • The scholarship is open to Australian and New Zealand (domestic) candidates and to International candidates.
  • Research must be undertaken on a full-time basis.
  • Applicants must already have been awarded a first-class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector.
  • Applicants must be able to demonstrate strong research and analytical skills.

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact the Dr Dave Kendal for further information.

Closing Date

31st December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

Dr Dave Kendal is seeking expressions of interest from prospective HDR students interested in understanding the reciprocal effects of people on urban nature. Dave has a broad range of experiences managing research projects and supervising HDR students exploring topics such as:

  • What drives decision making in urban parks and street tree management? How can we incorporate the views of the public into urban landscape management?
  • Which urban trees will be best suited to our future climates? What traits of trees influence the benefits they provide to people and wildlife?
  • What roles does nature play for urban dwellers? How do values shape the way people think about and interact with urban nature and its management?
  • What role do cities play in the conservation of threatened species? Can species conservation co-occur with other urban landscape uses such as recreation and the provision of ecosystem services?

Dave has a particular interest in understanding how landscapes and people might be changing with social-ecological change. Potential co-supervisors within Geography include: Prof Jason Byrne, Prof Jamie Kirkpatrick, A/Prof Aidan Davison, Dr Vanessa Adams, Dr Rebecca Harris

Eligibility

The following eligibility criteria apply to this scholarship:

  • The scholarship is open to Australian and New Zealand (domestic) candidates and to International candidates.
  • Research must be undertaken on a full-time basis.
  • Applicants must already have been awarded a first-class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector.
  • Applicants must be able to demonstrate strong research and analytical skills.

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact Dr Dave Kendal for more information.

Closing Date

1st September 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

Facial Emotion Recognition is the process of identifying human emotion, most typically from human facial expressions. AI-based facial emotion detection can be applied in a variety of fields such as Driver Fatigue Monitoring, Marketing, and Entertainment. Driver Fatigue Monitoring employs facial emotion detection to determine whether a driver is in a state of fatigue so as to appropriately intervene in the behaviour of the driver to avoid possible accidents. Advertisers and market researchers try to use consumer emotional engagement with digital content, such as videos and ads, to create the best ads and optimizing media spend.

The popularity of deep learning approaches in the domain of emotion recognition may be mainly attributed to its success in related AI applications such as Computer Vision. Well-known deep learning algorithms include different architectures of Deep Neural Network (DNN) such as Convolutional Neural Network (CNN), Long Short-term Memory (LSTM), and Extreme Learning Machine (ELM). Deep Neural Networks have increasingly been employed to learn discriminative representations for automatic facial emotion recognition with some success, however, certain significant issues remain unresolved. Such issues include: Occlusion-robust and pose-invariant issues; Dataset bias and imbalanced distribution; Optimal DNN parameter set; Multimodal effect. In this project, you will develop new deep learning algorithms to overcome these and possibly other issues for faster, more reliable, and more accurate facial emotion detection.

Eligibility

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Shuxiang Xu for further information.

Closing Date

30 October 2019

The Research Project

Machine learning approaches have been used for developing predictive models such as recommender systems, which seek to predict the preference that a user would give to an item. In recent years a new algorithm named Extreme Learning Machine (ELM) has been developed for training Artificial Neural Networks (ANNs). With ELM, there are no iterations for adjusting connection weights and parameters tuning as in back propagation based ANNs.

While ELM has demonstrated superior performance in developing smaller recommender systems, one drawback of it is that, given an application with a big dataset, the number of neurons in its single hidden layer are typically very large and hence training the network can be computationally impractical. The ELM algorithm’s complexity is at least O(KM2), where K is the number of training instances and M is the number of hidden units. ELM also makes use of batch training, which leads to large memory consumption.

The project aims to evaluate several different solutions (such as representation learning and Deep ELMs) for these problems, and propose a new algorithm for maintaining the strengths of ELM but overcoming its weaknesses in performance and efficiency. Such a solution would be very valuable for developing more effective recommender systems in the current big data era.

Eligibility

The following eligibility criteria apply to this project:

  • The project is open to domestic (Australian and New Zealand) and international candidates
  • The degree must be undertaken on a full-time basis
  • Applicants must already have been awarded a First Class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills

Candidates from a variety of disciplinary backgrounds are encouraged to apply. Knowledge and skills that will be ranked highly include:

  • Machine learning algorithms
  • Data mining and data analytics

More Information

Please contact Dr Shuxiang Xu for more information.

Closing Date

31st October 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

Sentiment analysis (also known as opinion mining) refers to the use of natural language processing and text analysis to identify and extract subjective information in source materials. Sentiment analysis is widely applied to reviews and social media for a variety of applications, ranging from marketing to customer service. Sentiment analysis aims to determine the attitude of a speaker or a writer with respect to some topic or the overall contextual polarity of a document. The attitude may be his or her judgment or evaluation, affective state (the emotional state of the author when writing), or the intended emotional communication (the emotional effect the author wishes to have on the reader).

The rise of social media such as blogs and social networks has fuelled interest in sentiment analysis. With the proliferation of reviews, ratings, recommendations and other forms of online expression, online opinion has turned into a kind of virtual currency for businesses looking to market their products, identify new opportunities and manage their reputations. Companies look to automate the process of filtering out the noise, understanding the conversations, identifying the relevant content, and actioning it appropriately. This project aims at employing Machine Learning algorithms to automatically detect sentiment in user reviews of interested online business websites.

Eligibility

The following eligibility criteria apply to this project:

  • The project is open to Australian (domestic) and international candidates
  • The PhD must be undertaken on a full-time basis
  • Applicants must already have been awarded a first class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills
  • Applicants must meet English requirements, or be able to do so before commencement
  • Candidates must demonstrate experience and strong interest in Machine Learning or general computational intelligence

More Information

Please contact Dr Shuxiang Xu for more information.

Closing Date

31 December 2019

The Research Project

Game mechanics are constructs of rules or methods designed for interaction with the game state, thus providing gameplay. All games use mechanics; however, theories and styles differ as to their ultimate importance to the game.
Different games may have the same mechanic (e.g. jumping) but differ in the exact implementation of that mechanic. The differences between these basic mechanics can be slight, or vast, and the differences between all of the core mechanics in a game can lead to games feeling entirely different for the player.

This study proposed developing techniques to sample the differences between mechanics across a range of games and to reverse engineer the techniques used to create them. From the collected mechanics a taxonomy could then be built to classify these games by the gameplay techniques they employ.

Eligibility

The following eligibility criteria apply to this project:

  • The project is open to Australian (domestic) and International candidates
  • The PhD must be undertaken on a full-time basis
  • Applicants must already have been awarded a first class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills
  • Applicants must meet English requirements, or be able to do so before commencement

Candidates from a variety of disciplinary backgrounds are encouraged to apply. Knowledge and skills that will be ranked highly include:

  • Algorithms
  • Artificial Intelligence
  • Cognition

More information

Please contact Dr Ian Lewis for more information.

Closing Date

30th December 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

As learner interaction in an online educational environment leaves a lot of digital traces behind, vast data sets of students’ online activities are available, which is known as Big data. Data and analytics in education, teaching and learning has attained great interest, resulting high-quality research into models, methods, technologies, and impact of analytics in education area. Big data and learning analytics with Artificial Intelligence (AI) is greatly extending the power of computers to revolutionise education sector. Educational data mining techniques discover meaningful patterns in these large datasets to create probabilistic and predictive models such as student success algorithms, understand and optimise learning and the environment. Learning analytics and AI are not panaceas for addressing all the issues and decisions faced by higher education but become part of the solution to enhance and transforms the way to support learning process.

The aim of the project is to investigate the deployment of AI techniques and analytical model/algorithm for improving learning analytics and for discovering the meaningful patterns in the large datasets of students to improve educational processes.

Eligibility
  • Experience with programming
  • Critical thinking

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Soonja Yeom for further information.

Closing Date

31st December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

Computers are starting to be used to recognise affect which can provide better assistance to human users. Models to be used to recognise human emotion which will lead to another form of computer-assisted learning, perceptual information retrieval, interaction, and human health. Affective Computing is the term used to define IT systems and devices, which support the collection of data about human emotions through their facial expression, their voice tone, activities and interaction with other humans. Unlike other traditional types of computing, “affective computing” provides a method to “read” and “understanding” the emotion state of the user. Therefore, enhancement of the links between human and human as well as the interaction between users and their computers is worthy of investigation.

The learning domain as an applied area is a relatively new area in terms of finding out the user’s emotional status in order to equip teacher/teaching modules to react and enhance the user’s learning experiences and learning outcomes.

The aim of this project is to investigate if there is any way for the early detection of possible difficulties of learners. If the detection is possible, teacher/teaching module can assist to solve the problem promptly via an application based on deep learning algorithms.

Eligibility:

The following eligibility criteria apply to this project:

  • The project is open to domestic (Australian and New Zealand) and international candidates
  • The degree must be undertaken on a full-time basis
  • Applicants must already have been awarded a First Class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills

Candidates from a variety of disciplinary backgrounds are encouraged to apply.

Knowledge and skills that will be ranked highly include:

  • Experience with programming  in deep learning
  • Critical thinking
  • Programming skills

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact the Soonja Yeom for further information.

Closing Date

1st October 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

Automated clinical decision-making systems in the study of medical informatics over the years have proved to be capable of supporting health care practitioners but have also been the subject of inadequate computer-assisted diagnosis and medical misinterpretation, raising suspicion in the adoption of mathematical algorithms for clinical diagnosis and prognosis. This research proposal presents an approach that integrates machine learning applications on electronic health record and image-based data for a holistic medical analysis, which is central to the technical challenges of artificial intelligence research in medicine.

This study aims to provide a protocol of training machine learning systems that prioritize the demand for accurate diagnosis, especially in medical conditions that require complex procedures to detect and respond to. By reevaluating the established modalities in machine learning applications and integrating computational techniques such as natural language processing, transfer learning, convolutional neural networks, and recurrent neural networks for a functional facility of artificial intelligence, this research proposal expects to formulate an autonomous clinical decision-making system, featuring an intermediate supervisory control system based on fuzzy logic that can provide elaborate medical analyses. This study contributes to the development of computer-assisted health care, as well as to the interdisciplinary praxis between engineering and medical science.

Eligibility
  • The project is open to domestic (Australian and New Zealand) and international candidates
  • The degree must be undertaken on a full-time basis
  • Applicants must already have been awarded a First Class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Soonja Yeom for further information.

Closing Date

20th December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

Social media has become one of the most important tools for people to share information and interact with others. On social media, people may expose themselves to a wide range of "observers", which include not only relatives and close friends, but also strangers and even stalkers. This raises a serious cyber security issue, i.e., online privacy leak.

Online privacy leak means an individual user shares his/her private information to people who he/she does not know well or even strangers on the Internet. This can be very dangerous for general Internet users, especially with the booming of OSNs. It is necessary to have a tool to assist general users to make better use of OSNs, and protect them from leaking privacy information. However, different with many other cyber security problems, online privacy leak is not only a computer security problem, but more related with users' Internet safety awareness. A cyber stalker is also an Internet (human) user. He/she may use normal Internet operations to collect someone's information on purpose without breaching any security protocols. On the other side, many Internet and Online Social Network (OSN) users lack of the awareness of Internet safety. Under this motivation, some preliminary work has been done to explore the use of AI techniques in the detection of abnormal attention to avoid privacy leak and avoid cyberstalking. Such approaches can quantify the risk levels of information sharing by considering the amount of a user's shared messages in OSNs and the trust relationships of the information readers with the user. However, the boundary between normal and abnormal observers is not very clear. Hence, the quantification of normal and abnormal attention can be inaccurate or different with users' understanding.

To overcome some of the above limitations, this project will investigate the use of NLP and deep learning methods in privacy information detection, and propose an automated approach which can detect privacy related information from the posted messages in social media, and remind users about the potential privacy leakage in a user friendly way.

Candidates from the following disciplines are eligible to apply:
  • Computer science
  • Artificial intelligence
  • Information technology
Eligibility
  • Degree-level undergraduate and postgraduate education in ICT or a related subject.
  • Good knowledge background in math, statistics, AI, machine learning and NLP.
  • Good programming skills.

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • The scholarship is open to Australian and New Zealand (domestic) candidates and to International candidates.
  • Research must be undertaken on a full-time basis.
  • Applicants must already have been awarded a first-class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector.
  • Applicants must be able to demonstrate strong research and analytical skills.
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Quan Bai for further information.

Closing Date

31 December 2019

The Research Project

Higher Education is transforming with advancement of internet technologies and globalisation. Students are becoming more diverse, heterogeneous and large. The traditional way of university teaching, with one teaching material for all, cannot work and is currently making several students dissatisfied. Due to increases in the competition from online courses such as MooCs, it is becoming more and more important for higher education institutions to provide their students with a good learning experience. They need to increase student retention and make them engaged. Moreover, they have to deal with limited resources, thus making personalised education which an individual student will look for, an impossibility.

Due to these challenges, big data analytics have been seen as a solution. We have technology and access to more data about each student than before. Thus, if one can process this large data and generate insights, the education personalisation is not an unreachable goal. The sentimental analysis, data mining, machine learning and recommendation systems are already helping in areas such as Medical care system.

The aim of this project is to develop BigData analytical models and techniques for improving learning among students and improving education processes.

Eligibility

  • The project is open to domestic and international candidates
  • The PhD must be undertaken on a full-time basis
  • Applicants must already have been awarded a first class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills

Candidates having knowledge and skills that will be ranked highly include:

  • Strong Algorithmic Skills
  • Programming Skills
  • Distributed Systems

More information

Please contact Dr Saurabh Garg for more information.

Closing Date

31 December 2019

The Research Project

BigData applications for their execution requires not only consideration of their computation requirements but also of their data. IoT (Internet of Things) applications have led to further importance of fast execution of big data applications. Many solutions have been proposed to run them in a single cloud. However, due to distribution of big data across several regions and each region having their own privacy policy, multi-Cloud environments become important for efficient and privacy preserving execution. However, these environments also bring challenges as large data needs to be transferred between different Cloud computing environments using the Internet which can adversely affect the execution performance and also needs more specialised security frameworks to preserve privacy of the data. In this PhD project, new mechanisms and frameworks will be investigated which can allow execution of BigData applications across multiple Cloud environments for IoT applications.

Eligibility

  • The project is open to domestic and international candidates
  • The PhD must be undertaken on a full-time basis
  • Applicants must already have been awarded a first class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills

Candidates having knowledge and skills that will be ranked highly include:

  • Strong Algorithmic Skills
  • Programming Skills
  • Distributed Systems

More information

Please contact Dr Saurabh Garg for more information.

Closing Date

31 December 2019

The Research Project

For environment conservation, on-going bird monitoring is required which is done through acoustic sensors installed across different forests in Australia. Currently, analysis of this is done by few specialists who need to hear long recordings to detect species of birds and then do further analysis. This is really infeasible when one talks about petabytes of data to analyse. However, current machine learning methods which can scale to bigdata and detect bird species are not available. This PhD project will investigate such machine learning methods that can detect bird species in real time.

Eligibility

  • The project is open to domestic and international candidates
  • The PhD must be undertaken on a full-time basis
  • Applicants must already have been awarded a first class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills

Candidates having knowledge and skills that will be ranked highly include:

  • Data Mining and Predictive Analytics Skills
  • Strong programming skills
  • Statistics

Contact for more information

Please contact Dr Saurabh Garg for more information.

Closing Date


20th December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

Social media has become one of the most important tools for people to share information and interact with others. On social media, people may expose themselves to a wide range of "observers", which include not only relatives and close friends, but also strangers and even stalkers. This raises a serious cyber security issue, i.e., online privacy leak.

Online privacy leak means an individual user shares his/her private information to people who he/she does not know well or even strangers on the Internet. This can be very dangerous for general Internet users, especially with the booming of OSNs. It is necessary to have a tool to assist general users to make better use of OSNs, and protect them from leaking privacy information. However, different with many other cyber security problems, online privacy leak is not only a computer security problem, but more related with users' Internet safety awareness. A cyber stalker is also an Internet (human) user. He/she may use normal Internet operations to collect someone's information on purpose without breaching any security protocols. On the other side, many Internet and Online Social Network (OSN) users lack of the awareness of Internet safety. Under this motivation, some preliminary work has been done to explore the use of AI techniques in the detection of abnormal attention to avoid privacy leak and avoid cyberstalking. Such approaches can quantify the risk levels of information sharing by considering the amount of a user's shared messages in OSNs and the trust relationships of the information readers with the user. However, the boundary between normal and abnormal observers is not very clear. Hence, the quantification of normal and abnormal attention can be inaccurate or different with users' understanding.

To overcome some of the above limitations, this project will investigate the use of NLP and deep learning methods in privacy information detection, and propose an automated approach which can detect privacy related information from the posted messages in social media, and remind users about the potential privacy leakage in a user friendly way.

Candidates from the following disciplines are eligible to apply:
  • Computer science
  • Artificial intelligence
  • Information technology
Eligibility
  • Degree-level undergraduate and postgraduate education in ICT or a related subject.
  • Good knowledge background in math, statistics, AI, machine learning and NLP.
  • Good programming skills.

See the following web page for entry requirements: http://www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria

The scholarship is open to Australian and New Zealand (domestic) candidates and to International candidates.

Research must be undertaken on a full-time basis.

Applicants must already have been awarded a first-class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector.

Applicants must be able to demonstrate strong research and analytical skills.

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Quan Bai for further information.

Closing Date

31 December 2019

The Research Project

Given the important challenges associated with the processing of brain signals obtained from neuroimaging modalities, fuzzy sets, neural networks and evolutional systems have been proposed as a useful and effective framework for the modelling and understanding of brain activity patterns as well as to enable a direct communication pathway between the brain and external devices (brain computer/machine interfaces). However, most of the research so far has focused on lab-based applications in constrained scenarios, which cannot be extrapolated to realistic field contexts. Considering the decoding of brain activity, the computational Intelligence models, including fuzzy sets, neural networks, and evolutional computation, provide an excellent tool to overcome the challenge of learning from brain activity patterns that are very likely to be affected by non-stationary behaviours and high uncertainty. The application of computational Intelligence methods to learning and modeling​ has recently demonstrated its remarkable usefulness for coping with the effects of extremely noisy environments, as well as the variability and dynamicity of brain signals. Additionally, neurobiological studies have suggested that the behaviour of neural cells exhibits functional patterns that resemble the properties of intelligent computation to encode logical perception. This paves the way for developing new computational intelligence techniques based on intelligence abstractions that foster the capabilities for modeling and understanding brain function from a quantitative point of view.

Eligibility

Please refer to the Entry Requirements for a {Doctor of Philosophy/Master of Research} degree.

The following eligibility criteria also apply:

  • The project is open to domestic and international candidates
  • The PhD must be undertaken on a full-time basis
  • Applicants must already have been awarded a first class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector

Selection Criteria

Knowledge and skills that will be ranked highly include:

  • Applicants must be able to demonstrate strong research and analytical skills
  • Data Mining and Predictive Analytics Skills
  • Foundational programming skills
  • Statistics

More Information

Please contact Zehong Cao for more information.

Closing Date

31 December 2019

The Research Project

BigData applications for their execution requires not only consideration of their computation requirements but also of their data. Many solutions are proposed to run them in single cloud. However, due to distribution of big data across several regions and each region having their own privacy policy, Multi-Cloud environments becomes important for efficient and privacy preserving execution. However, these environments also bring challenge as large data need to be transferred between different Cloud computing environments using internet which can adversely affect the execution performance and also needs more specialised security frameworks to preserve privacy of the data. In this PhD project, new mechanisms and frameworks will be investigated which can allow execution of BigData applications across multiple Cloud environments.

Eligibility

The following eligibility criteria apply to this project:

  • The project is open to Australian (domestic) and International candidates
  • The PhD must be undertaken on a full-time basis
  • Applicants must already have been awarded a first class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills
  • Applicants must meet English requirements, or be able to do so before commencement

Candidates from a variety of disciplinary backgrounds are encouraged to apply. Knowledge and skills that will be ranked highly include:

  • Distributed systems
  • Programming skills
  • Mathematical skills, particularly optimisation

More Information

Please contact Dr Saurabh Garg for more information.

Closing Date

30 September 2019

The Research Project

Harvesting trees that contain internal defects such as knots and cracks is neither financially nor environmentally sustainable. In native forest, high quality sawlogs can only be produced from knot free logs and forest habitats and ecology can only be maintained by selecting and retaining suitable habitat trees. Similarly in hardwood plantations it is impossible to produce sawlogs from knotty or cracked timber. For both types of forests challenges remain in being able to identify internal defects in a timely and cost-effective manner prior to harvesting.

This current project aims to:

  • Proof of concept through trials in native and plantation eucalypt forests
  • Build a predictive imputation model for different types of tree species and different growing conditions across Australia

The field assessment involve using various non-destructive techniques including ultrasonic and Ground Penetrating Radar (GPR) that use electromagnetic and ultrasonic sound waves respectively to penetrate the internal structure of standing trees. These assessment techniques will assist forest growers to more accurately evaluate the quality of growing stems in the field. A wide selection of growing conditions and forest types will be assessed to generate data that can then be used to generate a software algorithm for predictive imputation of likely internal defect rates within particular forests under particular growing conditions.

Eligibility

Please refer to the Entry Requirements for a Doctor of Philosophy degree.

Candidates from a variety of disciplinary backgrounds are encouraged to apply. Knowledge and skills that will be ranked highly include:

  • Thorough understanding of NDE principles and techniques
  • Demonstrated experience supporting new software/hardware development and mobile applications
  • Minimum of 1 year of experience in at least 2 of the following test methods: Ultrasonic, Magnetic Particle, Eddy Current, Shearography, or Thermography
  • Must have a couple of peer-reviewed publication in Q1/Q2 journals or conference proceedings
  • Technical background in computational solid mechanics
  • Experience with modeling and simulation tools
  • Ability to assess tool capabilities and limitations when selecting and utilizing tools to perform simulations
  • Proficiency with modern programming languages such as C++, Python, Matlab, or similar languages

More Information

Please contact Dr Mohammad Sadegh Taskhiri for more information.

Closing Date

30th June 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

Digital twins are a virtualized description including data and mathematical models of a real-world object. It enables easy sharing of the objects by digitally re-producing it's features for understanding of its functionalities. Such features often do not replicate physical effects accurately in the cyberspace but are useful to visualize any object without actually creating it.

Digital twins can be created in Virtual Reality (VR) or Augmented Reality (AR) for emulating IoT devices in real-time to provide a wide range of user experiences. This project intends to investigate the methods of creating Digital twins for both single device systems typically small enough to fit on a desk and multi-device complex systems spread over a room or building.

The research can look into various areas including:

  • Methods of constructing IoT devices and large IoT system as a digital twin in VR/AR interconnecting the virtual objects and the real world physical IoT counterparts
  • Classification of desktop VR and in-room VR and how it is impacted by the IoT device's construction and operation
  • Use of VR/AR digital twins when applied in Education/Training purposes

The application area could be Remote Laboratories which is meant for education and training using a range of electromechanical systems. However, other applications areas may be chosen as well, depending on candidate's area of expertise.

Eligibility

Useful skill set of the candidate:

  • Basic concepts of VR/AR technologies; preferably ThreeJS or similar
  • Programming in Raspberry Pi or Arduino or other µController

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Ananda Maiti for further information.

Closing Date

31 October 2019

  • Applicants should contact the supervisor (Mohammad Sadegh Taskhiri), and submit their application as soon as possible.
  • Applicants wishing to commence in 2019 should complete the Expression of Interest (EOI) and Application processes as soon as possible.

The Research Project

Non-invasive detection of illnesses by human breath analysis is an emerging field of bio-medical diagnostics representing a rapid, economic, and simple alternative to standard blood analysis and endoscopy. The bulk matrix of the breath is a mixture of nitrogen, oxygen, carbon dioxide, water vapour, and inert gases. Acetone is a selective breath marker to type-1 diabetes. It is produced by hepatocytes via decarboxylation of excess acetyl-coenzyme A. The operation of a direct-reading, selective chemical sensor is based on the existence of a selective recognition event that results in a change in a measurable parameter. Most of the common commercial gas sensors are based on semiconductors, polymer materials and the methods used for sensing are optical methods, calorimetric methods, gas chromatography and acoustic methods.

In this project a titanium-based gas sensor will be developed for selective detection of acetone for easy diagnosis of diabetes by breath analysis. The synthetized titanium material can be composed with a semiconductor to investigate its material characterization. The prepared materials will be characterized using FTIR, XRD, FESEM-EDX, TEM, XPS and BET and other required characterizations.

The core of this project will involve developing an appropriate user-centred design for patients to be able to  process, understand and interpret electronic signals or data produced by the gas sensor. The input part then consists of transducers that gather and transform information from the physical world with the last step of the transformation resulting in an electrical signal.

Eligibility

Please refer to the Entry Requirements for a Doctor of Philosophy degree.

The following eligibility criteria apply to this scholarship:

  • The scholarship is open to Australian and New Zealand (domestic) candidates and to International candidates.
  • Research must be undertaken on a full-time basis.
  • Applicants must already have been awarded a first-class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills

Candidates from a variety of disciplinary backgrounds are encouraged to apply. Knowledge and skills that will be ranked highly include:

  • Degree-level undergraduate education in ICT, chemistry or a related subject
  • Must have a couple of peer-reviewed publication in Q1/Q2 journals or conference proceedings.
  • Experience with modelling and simulation tools.
  • Ability to assess tool capabilities and limitations when selecting and utilizing tools to perform simulations.
  • Proficiency with modern programming languages such as C++, Python, Matlab, or similar languages.

More Information

Please contact Mohammad Sadegh Taskhiri for more information.

Closing Date

31 December 2019

The Research Project

We have developed an automated blood oxygen level controller for preterm infants that has recently been undergoing clinical trials. This PhD project aims to make further advances by investigating enhancements to our current oxygen control algorithm and technology. The project will focus on topics such as development of advanced sensing technology for respiration and oxygenation using imaging based systems and electronic sensing technology. This will include development of advanced image processing and/or sensor signal processing algorithms.

Eligibility

The following eligibility criteria apply to this project:

  • The project is open to Australian (domestic) and International candidates
  • The PhD must be undertaken on a full-time basis
  • Applicants must already have been awarded a first class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills
  • Applicants must meet English requirements, or be able to do so before commencement

Candidates from a variety of disciplinary backgrounds are encouraged to apply, including Biomedical, Mechatronic and Electrical/Electronics Engineering.

More Information

Please contact Dr Tim Gale for more information.

Closing Date

30 September 2019

The Research Project

Demand for effective and efficient approaches to map, monitor and manage underwater environments continues to grow. Industrial, climatological and environmental activities increasingly require ever-more accurate modelling and analysis of underwater environments. Many technological approaches have already been developed to address challenges imposed by darkness, depth/pressure and salinity. However water turbidity (cloudiness) continues to be a major inhibitor underwater, especially where there is a requirement for real-time data.

This project aims to contribute to the science of methods for data capture and analysis of real-time vision in turbid circumstances. To test these methods the research team have forged collaboration with an industrial partner who is actively engaged in industrial underwater timber harvesting. This project presents a unique opportunity to enhance the activities and advancing the science of real-time vision in turbid waters.

Recent improvements in underwater video systems and in processing algorithms for image filtering and detection suggest a new research opportunity. The plan is to mount a video camera system on the harvester head to capture video-images that will be processed in real-time to provide improved vision clarity in these turbid underwater environments. It is anticipated that this improved vision combined with improved sonar mapping will enable the harvester to locate, manoeuvre and safely harvest submerged tree stems at greater depth than is currently possible.

Eligibility

Please refer to the Entry Requirements for a Doctor of Philosophy degree.

Candidates from a variety of disciplinary backgrounds are encouraged to apply. Knowledge and skills that will be ranked highly include:

  • Thorough understanding of information systems, big data, acoustic
  • Demonstrated experience supporting new software/hardware development and mobile applications
  • Experience with modelling and simulation tools
  • Ability to assess tool capabilities and limitations when selecting and utilizing tools to perform simulations
  • Proficiency with modern programming languages such as C++, Python, Matlab, or similar languages

More Information

Please contact Dr Mohammad Sadegh Taskhiri for more information.

Closing Date

31 December 2019

The Research Project

Practical applications of knowledge base systems to multidisciplinary domains with "big data" are typically limited to standard machine learning approaches – you take the domain data, develop a model and then apply it, with little further modification of the model possible. Unfortunately, such techniques limit the future practicality or maintenance of the developed system – additional knowledge or knowledge maintenance is a hard, cumbersome task that requires redeveloping the learnt model from scratch.

The project will focus on the development of hybrid method that can maintain knowledge base for new pattern found in the future. It will investigate how to improve existing machine learning algorithms in determining patterns (classification) in data sets by using a modified. The proposed system increases accuracy of results and greater computational efficiency for large datasets ("big data".) Then the system then supplements the model produced by using an incremental knowledge acquisition system, RDR (Compton and Jansen 1988)). Standard RDR incrementally adds to this machine-learnt knowledge base by allowing a (non ICT) domain expert to incrementally, independently supplement this knowledge model by way of adding new rules (for classification), and correcting or deleting incorrect classifications. This means the resulting system should be able to adapt quickly to new data – a deficiency from which traditional machine learning systems suffer.

Our future theoretical enhancements to the system include adding the capability of allowing simultaneous multiple classifications (Kang 1995). Existing machine learning algorithms for classification technically can only conclude with one classification at a time for a given data case – whereas some expert domains can greatly benefit from multiple classification. This is an exciting possibility for future research.

Eligibility

The following eligibility criteria apply to this project:

  • The project is open to Australian (domestic) and International candidates
  • The PhD must be undertaken on a full-time basis
  • Applicants must already have been awarded a first class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector.
  • Applicants must be able to demonstrate strong research and analytical skills
  • Applicants must meet English requirements, or be able to do so before commencement

More Information

Please contact Dr Byeong Kang for more information.

Closing Date

28th February 2021*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

Deep Learning recently lends itself extremely well to the research in computer vision domain where hierarchical structures of computational neurons can learn predictive features to effectively make predictive decisions. For example, in health care, deep learning is becoming also popular among medical imaging researchers who are looking for great tools to process a large number of images produced by scanners.

The impact of this to the society is potential and attract more and more attention from health care experts who have been looking for better methods to reduce the error rates in diagnosis. However, the most common deep learning models used for image processing are CNN-based which is a complex black-box consisting of millions of parameters that confused the experts of why the decisions are made. As a result, there is an increasing scepticism from those who do not want to use deep learning because of the lack of explainability.

In this research, the student will improve the transparency of deep neural networks to provide insights of the decision-making process. The topics of interest are (but not limited to):

  • Medical imaging (eye disease detection, knee pain prevention, etc.)
  • Visual reasoning, image captioning
Eligibility
  • The project is open to Australian (domestic) and international candidates
  • The PhD must be undertaken on a full-time basis
  • Honours degree/Master degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must meet English requirements, or be able to do so before commencement

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Son Tran for further information.

Closing Date

24 May 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

Soils, though often modelled as continuum, are particulate in nature. Professor Andrew Chan has performed extensive research on the interaction of particles and fluid using the discrete element method and Lattice Boltzmann method. This project is to extend current research to three-dimensions, non-circular particles and implementation on a parallel computer. The method can then be applied to various practical engineering problems such as liquefaction of soil, undersea slope failure, behaviour of saturated soil under earthquake and dynamic loading as well as undersea extract of ores.

Eligibility

The following eligibility criteria apply to this project:

  • The project is open to Australian (domestic) and International candidates
  • The PhD must be undertaken on a full-time basis
  • Applicants must already have been awarded a first class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills
  • Applicants must meet English requirements, or be able to do so before commencement

Candidates from a variety of disciplinary backgrounds are encouraged to apply. Knowledge and skills that will be ranked highly include:

  • Programming skills
  • Engineering mechanics

More Information

Please contact Professor Andrew Chan for more information.

Closing Date

30th June 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

Internet of Things (IoT) devices are predicted to be used in millions in near future. One type of these devices are the personal devices. Personal IoT devices interact a lot with their human owners as opposed to Industrial IoT devices. As such these devices need to guide or provide support to their users in certain conditions in the proper ways to use themselves.

This project will focus on creating smart algorithms and data structures where the device stores data and advise the users on how to use them in suitable ways. The devices can create usage profiles specific to their users. This would allow the device to rate and analyse the users on how effectively the devices are being used.

Furthermore, the personalized IoT devices can compare their states with other devices of same nature and determine the overall problems with themselves e.g. a specific action that every owner gets wrong. This could pave the way for improvement in the device or it's firmware.

Potential research contributions include a mathematical model based on a suitable data structure used to store the proper usage patterns and the actual usage patterns. It can also produce a method to rate the user's actions. It can share and compare this to other devices to identify potential problems with its own design.

IoT devices vary a lot in terms of constructions and usage. Some devices which can be used for training purposes need to measure the performance of the users. Other devices simply need to guide their owners. These proposed approaches could create personalized IoT devices that can collectively provide feedback to individual owners.

Eligibility

Preferred skill set of the candidate:

  • Basic concepts of machine learning with python or NodeJS
  • Programming in Raspberry Pi or Arduino or any other µController

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Ananda Maiti for further information.

Closing Date

31st October 2019 

The Research Project

Convolutional Neural Networks (CNNs) have revolutionised image recognition and related fields. Beginning with small networks such as AlexNet (), and progressing towards much larger networks like GoogleNet () and ResNet (), CNNs have been able to achieve performance in image recognition tasks on par with human performance.

As part of these advances, many CNN architectures have been proposed.  Typically, these consist of a combination of convolution layers of many varieties, combined with pooling layers, and usually terminating in dense layers.  A seemingly endless variety of directed acyclic graphs with these layers as nodes have been proposed.

While architectures have been inspired by biological neural image processing, it appears that many of the architectures are a result of intuition and trial-and-error.  While some attempt has been made to improve the computational efficiency, the primary aim of these architectures is almost invariable to improve image recognition accuracy.

Previous attempts to optimise graph or tree structures have used genetic programming.  The graph represents a potential solution to a problem and a population of these solutions is refined using evolutionary principles.  This approach has been used successfully with expression trees and behaviour trees.

This project will investigate the use of genetic programming approaches to learn an optimal architecture for CNNs.

Eligibility

Applicants from the following disciplines are eligible to apply:

  • Computing
  • Computer Science
  • Mathematics

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • Experience with Deep Learning Algorithms
  • Background in Mathematics
  • Problem Solving
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Robert Ollington for further information.

Closing Date

30th June 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

The rapid growth of the Internet and web applications provide an overwhelming amount of information. Benefited from online social mediums and crowd computing platforms, it is very easy to collection information from various sources nowadays. In the process of information digitisation, the information of an entity can be generated from multiple sources and the information digitised or collected might be conflicted, with different qualities and even from fake or malicious sources.

It is crucial to find out the truth (truths) of an entity from different sources which provide information about the entity. However, for many web applications are operated under uncertain and dynamic environments. There may exist no evaluation standard for information quality or ground truth, and the information sources can be dynamic.

Under such environments, the discovery and mining of truth/truths is critical. In this project, we will investigate the use of advance AI and data mining techniques in estimation trustworthiness or shared or crowd sourced information.

Eligibility

Applicants from the following disciplines are eligible to apply:

  • Computer science
  • Mathematical sciences
  • Data analytics

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • The scholarship is open to Australian and New Zealand (domestic) candidates and to International candidates
  • Research must be undertaken on a full-time basis
  • Applicants must already have been awarded a first-class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Quan Bai for further information.

Closing Date

31 December 2019

The Research Project

The Internet of Things (IoT) has encouraged the rapid growth of ubiquitous displays, yet research into how multiple displays are currently being used and how they could be more effectively used is limited to niche markets. E-learning is one area that stands to benefit from this growing number of displays, be that in the classroom or in the home. The future use of this technology will be influenced by a myriad of features ranging from the combinatorial use of multiple displays of different form factors, to the semantic division of the content that is to be communicated, and the target audience to which this content is to be communicated to.

This work will investigate how ubiquitous displays in e-learning environments can increase student engagement with the learning content, other students, and the teaching team. The work will also investigate the factors that encourage and oppose take-up of ubiquitous display technologies in the classroom, including the perceptions and the cost realisation of the technologies.

This work lies at the intersect of three separate themes:

  • HCI
  • Wearable and shared displays
  • E-learning

The outcomes will contribute significantly to improving our understanding of the use of multiple display technology in e-learning environments.

Eligibility

The following eligibility criteria apply to this project:

  • The project is open to domestic and international candidates
  • The PhD must be undertaken on a full-time basis
  • Applicants must already have been awarded a first class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills
  • Applicants must meet English requirements, or be able to do so before commencement

Candidates from a variety of disciplinary backgrounds are encouraged to apply. Knowledge and skills that will be ranked highly include:

  • Human Computer Interaction
  • User Centred Design, Prototyping, Testing and Evaluation

More Information

Please contact Dr Winyu Chinthammit for more information.

Closing Date

31st December 2021*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

In this project, HDR students implement (based on TensorFlow) of state-of-the-art Machine Learning (ML) algorithms to easily train intelligent agents for various games. The research goal is to speed up the learning process of multiple agents and allow each agent receives higher rewards in a game scenario. These trained agents can be presented in the demo workshop and can be used for multiple purposes, including testing of game builds and controlling behaviour.

In this project, we used the Unity platform, a new open-source toolkit, which has been developed for creating and interacting with simulation environments. Specifically, the Unity ML Agents Toolkit is an open-source Unity plugin that enables games and simulations to serve as environments for training intelligent agents. This project will use this toolkit to develop dynamic multi-agent interaction, and agents can be trained using reinforcement learning, imitation learning, neuro-evolution, or other machine learning methods through a simple-to-use Python API.

Additionally, this project is mutually beneficial for both students and AI researchers as it provides a central platform where advances in AI can be evaluated on Unity's rich environments and then made accessible to the industry and research developer communities.

The following eligibility criteria apply to this project:
  • See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree
  • The project is open to domestic and international candidates
  • Research must be undertaken on a full-time basis
  • Applicants must already have been awarded a first class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills
  • Candidate from a variety of disciplinary backgrounds are eligible to apply
Selection Criteria
  • Data Mining and Predictive Analytics Skills
  • Strong programming skills
  • Statistics experience
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Zehong Cao for further information.

Closing Date

31 December 2019

The Research Project

Virtual Reality (VR) systems are being released in 2016 by a number of high-profile vendors with Google Cardboard, Samsung Gear, Sony PlayStation VR, Oculus Rift, and HTC Vive.

It is assumed that Serious Games will benefit from the increase in immersion and presence that the user feels when using VR, but study is required to see whether this effect leads to greater benefits for the purpose that the game is trying to achieve, be it education, behaviour change, rehabilitation, or data collection.

It is proposed to use a variety of techniques including physiological measures, participant observation, self-efficacy studies, surveys, and direct data comparisons to study the effects of players in serious games while in VR and while using more traditional systems.

Eligibility

The following eligibility criteria apply to this project:

  • The project is open to Australian (domestic) and International candidates
  • The PhD must be undertaken on a full-time basis
  • Applicants must already have been awarded a first class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills
  • Applicants must meet English requirements, or be able to do so before commencement

Candidates from a variety of disciplinary backgrounds are encouraged to apply. Knowledge and skills that will be ranked highly include:

  • Algorithms
  • Artificial Intelligence
  • Cognition

More Information

Please contact Dr Ian Lewis for more information.

Closing Date

31st December 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

The innovation of artificial intelligence and cognitive science aims to explore and simulate the complex and powerful information processing mechanism of the human brain and promote machines to a higher intelligence level as human brains. Visual neural calculation aims to "do what the brain does", the central idea of which is to explore the mysteries of the human visual system. It is a complex interdisciplinary problem to establish an appropriate neural computing model and simulate the visual information processing mechanism in the human brain so as to better extract feature information.

With the continuous development of brain cognitive science, there have been more opportunities for visual neural calculation. Its development direction is to investigate the knowledge learnt in the visual domain by popular pre-trained vision models (CNN-based framework) and use it to teach a recurrent model being trained on brain (EEG) signals to learn a discriminative manifold of the human brain's cognition of different visual object categories in response to perceived visual cues.

Eligibility
  • Data Mining and Predictive Analytics Skills
  • Strong programming skills
  • Statistics experience

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Zehong Cao for further information.

Closing Date

28th February 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

Remote sensing and spatial analysis techniques enhance understanding of vegetation dynamics through a continuous monitoring process globally, however, these techniques are rarely used to monitor pasture in real-time for sustainable grazing. The efficient use of satellite images and analysis of spatial data is crucial for the understanding of natural processes and to inform management actions across varied scales (large tracts of grassland to paddock). The project will develop sophisticated image analyses, interpretative and automation techniques to synthesize spatial data into a form where it directly assists end-users to make real-time decisions on grazing management.

The proposed research will include a range of approaches using pasture, management, environmental, climate, and freely available multispectral satellite data (Landsat, MODIS, Sentinel 1 and Sentinel 2). The project will work across different resolutions and scales from the region to the paddock. Research methods will include necessary image processing from global sources, image analysis and interpretation, geospatial analysis, statistical modeling, pooling and synthesis of environmental data (i.e. climate, topography, and soil), and literature reviews. Case studies (at least 3 farms in Tasmania) will represent different intensification levels of grazing and different strategies (i.e. irrigated, rainfed, grazing intensity) for managing these.

Eligibility
  • The project is open to Australian and New Zealand (domestic) candidates and to International candidates
  • Research must be undertaken on a full-time basis
  • Applicants must already have been awarded a first-class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills

Applicants from the following disciplines are eligible to apply:

  • Geography
  • Agriculture
  • Environmental Science/Engineering
  • Computer Science

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Iffat Ara for further information.

Closing Date

31 December 2019

The Research Project

Genome wide association studies (GWAS) using over 300 wheat accessions have revealed some tentative QTL for acid soil tolerance. These QTL are located to different positions to the known tolerance genes. To confirm that these QTL are different, different crosses will be made and the F2 populations will be screened for both acid soil tolerance and markers closely linked to previously reported genes. These populations which showed no correlation between acid soil tolerance and the selected markers will be genotyped and new QTL will be identified. Physiological studies will be conducted to assist the search of candidate genes.

Eligibility

The following eligibility criteria apply to this project:

  • The project is open to domestic (Australian and New Zealand) and international candidates
  • The degree must be undertaken on a full-time basis
  • Applicants must already have been awarded a First Class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills

Candidates from a variety of disciplinary backgrounds are encouraged to apply. Knowledge and skills that will be ranked highly include:

  • Molecular biology
  • Plant science

More Information

Please contact Professor Meixue Zhou for more information.

Closing Date

31st December 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

Increasing the legume component pastures is beneficial for animal production and health, and environmental sustainability due to the fixation of nitrogen by legume-associated bacteria.

Sensitivity to drought is a major limitation to broader perennial legume adaptation across much of the high rainfall permanent pasture region of SE Australia. Strong evidence exists that elevated levels of phosphorus and lime improves pasture persistence and recovery following drought. Potassium (K) is also implicated in pasture response to drought due to its known internal function in osmoregulation, including the control of water loss through stomata. However, little previous research has explored the extent to which increased K nutrition may improve drought tolerance of pasture legumes, or through which mechanisms increased persistence might be achieved. Micronutrients such as molybdenum (Mo) and boron (B) are also very important in legume growth and persistence, but their effect on drought tolerance is also unknown.

This project will use a series of glasshouse and field experiments to examine the effect of K, Mo and B on the response of a drought-sensitive forage species that is of international significance, white clover (Trifolium repens L.).

NB This project is in conjunction with New South Wales Department of Primary Industries  (NSW DPI). The student would be expected to spend the majority of their time based in NSW.

Eligibility

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Beth Penrose for further information.

Closing Date

31st January 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

The Research Project

The PhD candidate will conduct research and modelling on a variety of irrigated cropping systems in Australia, from the Murray-Darling Basin to the Lower Limestone Coast in SA and to the Midlands in Tasmania. Using a participatory process, the candidate will work with a team of experienced researchers but also will be involved in farmer surveys and extension of project results with grower groups.

The project will develop an economic calculator or similar, enabling whole-farm sensitivity analysis and taking into consideration factors including (but not limited to) price of water, irrigation layout, variable input costs and grain price to optimise farm scale returns from allocating available irrigation water to alternative crops. The project should address the following questions: 

  1. How does irrigation type (i.e. overhead laterals, flood irrigation and trickle) affect crop gross margins ($/ha) for a given water price? 
  2. How does water price affect crop gross margin (water demand requirements and timing)? 
  3. How does crop choice affect gross margin on a per hectare basis for a given water price?
  4. How does commodity prices affect crop choices for a given water price? 
  5. What is the relative probability that the predicted economic outcome will occur, i.e. what is the risk or confidence associated with various scenarios?
Eligibility
  • Applicants can be Australian or international citizens. Eligible international applicants must have an IELTS score of 6.5 or greater (tested within 12 months)
  • Research must be undertaken full time. The applicant must relocate and be able to live in Tasmania for at least 3.5 years
  • Must be physically fit to participate in field work in remote locations
  • Applicants must be able to demonstrate strong research and analytical skills
  • Applicants must already have been awarded a first-class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants from a variety of disciplines are eligible to apply

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Assessment Criteria
  • Experience with and knowledge of cropping systems/agronomy
  • Outstanding academic skills
  • High level of independence
  • Experience with modelling not essential but desirable
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Matthew Harrison for further information.

Closing Date

30th September 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

The cumulative experiences of a first calving followed by an abrupt separation from the calf, first interactions with older cows in an intensive and competitive grazing system, and first milking (and the corresponding close proximity to humans) make transitioning from the heifer herd to the milking environment a particularly stressful time in the life of a dairy cow.

The fact that these physical and social stressors are experienced simultaneously may exacerbate their detrimental effects on cow welfare and productivity. By removing or temporally shifting some of the stressors cows experience around their 1st calving the negative impact of the transition to milking cow may be reduced. Rearing more resilient heifers that are better prepared for integration into the milking herd may also improve the productivity of the worst performing animals in the dairy herd, and thus of the entire herd as a whole.

This research program will examine the effects of returning biologically relevant environmental and social complexity to the heifer’s rearing environment on the welfare and productivity of dairy heifers throughout rearing and into the 1st lactation.

Eligibility
  • The applicant will be based at the Cradle Coast Campus

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Megan Verdon for further information.

Closing Date

1st February 2020*

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

*unless filled earlier

Campus

Cradle Coast

The Research Project

The project will explore the nexus between profitability, sheep and beef productivity, greenhouse gas mitigation and carbon sequestration of livestock businesses in an increasingly variable climate. The candidate will be required to conduct an integrated assessment including farm case studies in regions of Tasmania, including the Midlands and King Island. The study will identify farming systems adaptations that are profitable, environmentally sustainable and targeted towards future market opportunities.

Adaptation options will explore pasture feedbase including new legumes and grasses, animal genetics, new technology (e.g. virtual fencing) and management options, as well as options to capture value from emerging carbon markets. Through computer modelling data analysis and work with farmers, the project will inform future research and development investment in grazing systems with higher resilience to climate change and challenges across eastern Australia and provide a series of farm systems that can be used to either demonstrate or research options to raise profitability in each region.

The following eligibility criteria apply to this project:
  • The scholarship is open to domestic (Australian and New Zealand) and international candidates;
  • The degree must be undertaken on a full-time basis;
  • Applicants must already have been awarded a First Class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector;
  • Applicants must be able to demonstrate strong research and analytical skills.
Candidates from a variety of disciplinary backgrounds are encouraged to apply.  Knowledge and skills that will be ranked highly include:
  • Knowledge of agriculture, including livestock or pasture systems
  • Understanding of modelling
Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

if requesting additional information from Dr Matthew Harrison, please also send your CV.

Closing Date

15th October 2019

Applicants should contact the primary supervisor, and submit their Expression of Interest (EOI) and Application as soon as possible.

The Research Project

Quality and provenance are key attributes desired by the market for Traditional Chinese Medicinal (TCM) Herbs. Wild resources are depleted and in rapid decline. Herbs are cropped domestically but these are relatively less desirable by the market.  

The overarching aim of this project is to understand the ecophysiology that underpins the growth and development in Tasmania of key TCM crops.  Lack of ecophysiological understanding can result in unexpected success when plants are transferred from environments that are quite distinct in terms of climates and soils.  Such understanding can inform management options that might include manipulation of light, soil moisture and fertility via site selection, infrastructure and cultural management. Understanding will be developed by investigating plant photosynthesis, water relations and nutrition physiology and informed by cultural manipulations that will lead to sustainable growing systems optimised for the market.

This project will sit within the UTAS 'Research Hub for Chinese Medicinal Herbs' and will involve close collaboration with our industry partner W&E Health as well as research partners South West University (Chongqing), Nanjing University of Chinese Medicine and the Chinese National Authority for Traditional Chinese Medicines (Beijing).

Eligibility
  • The scholarship is open to Australian and New Zealand (domestic) candidates and to International candidates
  • Research must be undertaken on a full-time basis
  • Applicants must already have been awarded a first-class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Applicants must be able to demonstrate strong research and analytical skills

Applicants from the following disciplines are eligible to apply:

  • Understanding of the general philosophy of Traditional Chinese Medicines
  • Experience and expertise in the study of plant ecophysiology
  • New crop and product development
  • Plant phytochemistry

See the following web page for entry requirements: www.utas.edu.au/research/degrees/what-is-a-research-degree

Application Process

Applicants who require more information or are interested in this specific project should first contact the listed Supervisor. Information and guidance on the application process can be found on the Apply Now website.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact, Dugald Close for further information.

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Laura is trying to find predictive methods for determining the potential impacts of mine waste on the environment.