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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

14th May 2021

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

The Research Project

The sustainable offshore development of seafood and renewable energy production systems in Australia is crucial for the Blue Economy development. Included in these prospects for blue economy growth are multi-purpose offshore platforms/facilities (MPOP) which can be realised through co-location and/or integration of seafood and renewable energy production systems. Such co-location/integration would have several synergistic benefits, including shared resources, efficient use of ocean space, less competition amongst other user groups of marine space, reduced operational and maintenance (O&M) costs from possible shared activities and reduced impact on coastal environments and ecosystems. All these benefits can be achieved if an integrated/co-located MPOP can operate safely and reliably. However, because of different structural and operational specifications/limitations of the devices used for aquaculture and offshore energy production, the reliability assessment of the integrated/co-located systems is a challenging task.

An emerging field of research in reliability assessment of novel systems involves the use of the Digital Twins (DT) concept. The pairing of the virtual and physical worlds allows analysis of data and monitoring of systems to identify the problems before they even occur, preventing downtime. The DT utilises sensory data and physical models for replicating the structure and evaluating its reliability real-time. The concept has been adopted by the aerospace industry for years, for service-life management and optimisation of airplanes and space shuttles.

Implementing the DT framework however is not straight forward because of the different structural and operational limitations of the aquaculture and renewable energy devices integrated within an MPOP and the lack of structural monitoring guidelines. Solving this issue requires utilisation and coupling of different environmental, structural and failure models, optimal utilisation of different sensors etc. The physical models used within DT frameworks are not certain and there are different degrees of uncertainty associated with each one of them. Improper use of sensors for structural and operational monitoring also increases the uncertainty. Such uncertainties increase the risk of predictions obtained by a DT. This research intends to address the uncertainty within the DT components by means of risk-based reliability frameworks. The research project answers the following questions:

  1. What are the capabilities of the DT concept for reliability assessment of MPOPs?
  2. What are the sources of uncertainty within the models forming an MPOP DT?
  3. How to quantify the risk associated with the identified uncertainties?
  4. What is the cumulative impact of these risks on the predictions obtained by a DT framework?
  5. How is it possible to minimise and mitigate these risks?

The project contributes towards a safer and more reliable operation of MPOPs in both exposed high-energy offshore and nearshore environments.

Eligibility

Essential Skills

  • Completion of Australian Honours Degree with a First Class or 2A Honours (or internationally equivalent degree) in mechanical, civil or maritime engineering
  • Masters by research degree
  • Masters by coursework degree with at least 25% research
  • The degree must be undertaken on a full time basis

Desirable Skills

  • In-depth understanding of hydrodynamics and maritime engineering; solid knowledge of materials science
  • Proficiency in a programming language (eg MATLAB); previous experience in statistical/probabilistic modelling

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, Dr Vikram Garaniya for further information.

Closing Date

14th May 2021

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

The Research Project

Global demand for efficient sea transportation has led to the evolution of large vessels worldwide. To capitalise in this efficiency increase, these larger vessels must manoeuvre in ever more confined waterways. Operating in such confined waterways creates unsafe transit for channel shipping. Additionally, extreme drought condition has led to the low water level in rivers and consequently has interrupted transportation not only by larger vessels but also by the current vessels which could safely passed through the rivers in the past. To provide safe transits, all possible vertical motions and draught changes should be considered. One of the sources of the draught change is the dynamic heel due to rudder deflection. Operating in the rivers requires to remain in the provided safe course and vessels' rudders are continuously in motion for course keeping purposes.

When a body moves in a circular path, there is a force towards the centre called centripetal force. In the case of a ship turning in a circle, the centripetal force is produced by the water acting on the side of the ship away from the centre of the turn. For equilibrium, there must be an equal and opposite force, which acts at the centre of mass (G). When a ship's rudder turns to port, the forces on the rudder itself causes a small angle of heel initially to port, however, the underwater form of the ship and centrifugal force on it cause a final static heel to starboard, and vice versa.

These two forces are coupled which tends to heel the ship away from the centre of the turn. Although a dynamic heel is developed during this coupling, the final static heel is usually taken into consideration. Neglecting dynamic heel is acceptable in waves due to the small ratio of this motion to the roll motion. However, in the case of calm water, particularly in rivers, canals and ports where there is restriction in terms of width and depth, the dynamic heel plays an important role.

This research project aims to investigate the effect of rudder deflection on the vessel's dynamic heel by three different methods of experimental, numerical and analytically solving equations of motion.

Eligibility

Essential:

  • 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
  • Strong research and analytical skills, and be first author of at least two published (or accepted) high-ranked journal papers

Desirable:

  • Computational Fluid Dynamics (CFD), hands-on experimental work especially in towing tank and model test basin, computer programming skills
  • Experience in Data Acquisition, Signal Processing and Machine Learning

Applicants from the following disciplines are eligible to apply:

  • Naval architecture
  • Maritime engineering
  • Mechanical engineering

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, Dr Javad Mehr for further information.

Closing Date

14th May 2021

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

The Research Project

Development of infrastructures to harvest renewable energy in offshore locations has gained increasing attention. To exploit renewable energy from offshore locations, different types of offshore structures are being proposed and built. Fixed platforms such as jacket structures are examples of platform employed in shallow water due to the lower cost of installation, operation, and maintenance. Fixed structures take advantage of supporting large deck loads, reliable stability, and little effect from seafloor scour. The continental shelf around Australia is relatively shallow, up of 200 meters deep. Fixed structures in the shelf can be used to support renewable energy production systems.

Offshore structures are usually subjected to more severe load conditions than those on the land. Among all loads, earthquake-induced loading has more severe consequences. Optimizing the remaining useful life of offshore renewable energy assets requires significant challenges incorporated with geotechnical perspectives such as cyclic loading of the foundation, the stiffness of the foundation, and accurate assessments of structural fatigue. Therefore, earthquake-based design criteria are essential to mitigate the risk of operational loss of renewable systems during seismic events.

This project aims to develop a holistic framework by integrating dynamic analysis and advanced machine learning methods to predict the performance of the structure exposed to progressive excitation loads including hydrodynamic effects. This research project will address the following objectives:

  • To develop a comprehensive methodology to analyse the dynamic strength level of the structure under seismic load,
  • To develop a well-defined methodology for accidental limit state function for progressive collapse of structures,
  • To develop a Machine Learning package for predicting resilience of given structures, and
  • To develop a risk mitigation strategy for the operational capacity of fixed offshore structures encountering earthquake loads.

The project will formulate the resilience of offshore fixed structures encountered during seismic loads using artificial intelligence. This mathematical based framework can contribute to solve the real-world problem related to the Blue Economy projects.

Eligibility

Essential Skills

  • The degree must be undertaken on a full time basis and applicants must have a First Class Honours degree or hold equivalent qualifications or relevant and substantial research experience in an appropriate sector
  • Proficiency with Machine Learning tool, Bayesian inference and CFD software
  • Be able to demonstrate strong research and analytical skills

Desirable Skills

  • Priority will be given to those who received first class honours for their bachelor degree and master by coursework course with research components and/or publications
  • In-depth knowledge of offshore structures, hydrodynamics and geotechnical engineering

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, Til Baalisampang for further information.

Closing Date

14th May 2021

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

The Research Project

There is a growing need for implementation of artificial intelligence (AI) in procurement functions as it allows procurement departments to solve complex problems by using smart computer algorithms, generating effective innovation strategies. Digital technologies such as machine learning, deep learning, and neural networks can all be considered as AI which provides a wide range of opportunities for firms to bring innovations faster to the market.

The ability of the firms to drive innovations as new value-adding products and services can significantly affect their competitive advantages which cannot be successfully achieved without collaborations with their suppliers. Supply networks are potentially rich sources of ideas and innovation, and suppliers have been considered as the most important partners in the firms' innovation efforts. This emphasises the importance of procurement in assisting firms to access suppliers' innovation capabilities.

Best practices have indicated that AI applications in procurement functions can increasingly facilitate the innovation development process in different ways. For example, through automation and improvement of firms' search capabilities, AI applications provide procurement professionals with additional insights into identifying the highly innovative suppliers and analysing their role in developing more innovative products and services. However, research contributions in exploring the impact of AI applications on supporting procurement decisions for collaborative innovations are extremely limited. Therefore, there are huge potentials for focusing on procurement functions to stimulate supplier innovations in the era of digital transformation. In this regard, this project investigates the applications of AI in enabling procurement functions to leverage supplier capabilities for the innovation development process.

Eligibility
  • Deep understanding of supply chain management and procurement functions
  • Understanding of AI and related technologies
  • Evidence of high level written and communication skills expected for Doctoral study
  • Good analytical skills
  • Work or research experience in supply chain management

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, Dr Hadi Rezaei Vandchali 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

14th May 2021

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

The Research Project

This research project aims to investigate the feasibility and technology potential of a compressed air energy storage (CAES) system that is associated with renewable energy and power systems. The specific research objectives include development of novel compressed air energy storage systems, investigation of dynamic performance of CAES system associated with the renewable energy and power systems and feasibility study of applications of CAES systems in Tasmania wind and solar power systems.

Eligibility

The applicant needs to have completed one of the following degrees in Mechanical Engineering or Energy and Power Engineering:

  • Australian Honours degree with a First-class or 2A Honours
  • Master by Research degree
  • Masters by coursework degree with at least 25% research component

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, Prof Xiaolin Wang for further information.

Closing Date

14th May 2021

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

The Research Project

This project focuses on the development of an intelligent direct-current (DC) microgrid for offshore or open ocean aquaculture applications. The DC microgrid will be deployed for highly efficient integration of distributed generation and modern electronic loads. Particular attention will be given to the potential advantages of, and challenges associated with, implementing a DC microgrid in offshore environment. The successful candidate will be based at the University of Tasmania aiming to explore the different aspects of DC microgrids including design, modelling, control, coordination, communications, and management.

The project leader and primary supervisor will be Professor Michael Negnevitsky, UTAS. The commercial partners for this project will be Optimal Group Australia Pty Ltd and Pitt & Sherry.

Eligibility
  • Australian Honours degree with a First Class or 2A Honours or internationally equivalent degree
  • Masters by research degree
  • Masters by coursework degree, with at least 25% research component

Applicants from the following disciplines are eligible to apply:

  • Electrical and Electronics Engineering
  • Electrical Power Engineering
  • Maritime Engineering

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, Prof Michael Negnevitsky 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

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 on obtaining an improved understanding of how best to design much clearer and more exciting Engineering education pathways in Tasmania. This research project will seek to:

  • Identify current ways in which Tasmanian middle-, high-, and senior secondary-school students may recognize possible existing educational pathways leading up to tertiary Engineering studies;
  • Characterize any existing conflicting messages (or misconceptions present) along those pathways that may discourage Tasmanian students from further exploring their potential interest in secondary or tertiary Engineering studies;
  • Jointly build with Tasmanian career counsellors, guardians and parents, principals, students, and teachers a suite of comprehensive, holistic, and inclusive perspectives on what future Engineering careers may entail;
  • Jointly design with Tasmanian Engineering academics and practitioners a suite of state-of-the-art field-tested tools so that they are better able to engage with their primary and secondary school counterparts;
  • Actively encourage multi-sector and multi-stakeholder collaborative involvement in the design, implementation, and evaluation of place-based mission-critical action-oriented strategies that lead to much clearer and more exciting Engineering education pathways in Tasmania; and
  • Embed the latest inclusion, diversity and equity research in the re-engineering of the education pathways that are the focus of this Ph.D. level work.
Eligibility
  • The applicant should have several publications indexed in the Web of Science (WoS)
  • Citations of these publications as recorded by the WoS would provide the applicant with additional merit points in this competitive process
  • WoS publications by the applicant as a first author will tend to attract extra merit points

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

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

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

31st December 2021*

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

*unless filled earlier

The Research Project

Wildlife roadkill is a world-wide issue being tackled by using a large array of mitigation methods that have variable efficacy. Tasmania has a significant roadkill issue, and several endemic species that are highly vulnerable to roadkill. One existing method of roadkill mitigation uses an electronic device that is triggered by a car's headlights at night, warning wildlife that a vehicle is nearby through flashing amber and blue lights and a high-pitched siren. These particular devices are manufactured in Austria and have been operating with apparent success in many European countries, reducing wildlife vehicle collisions with big game species such as deer and wild boar.

Between 2014 and 2016 a trial was conducted on the west coast of Tasmania to determine whether these European devices worked on Australian species, especially marsupials, many of which are threatened species. While the initial trial was set up simply to test the field efficacy of these devices, the success of the trial led to the results being published ("Roadkill mitigation: trialling virtual fence devices on the west coast of Tasmania", Australian Mammalogy, 2019, 41, 205–211). However, this trial was conducted at a single site with no replication, and a similar published study conducted on a highway close to Hobart for 3 months did not produce the same positive results ("A trial of a solar-powered, cooperative sensor/actuator, opto-acoustical, virtual road-fence to mitigate roadkill in Tasmania, Australia", Animals, 2019, 9 (10), 752).

The disparity in the results between the two studies has raised questions about the conditions under which these particular electronic devices work to optimal efficacy (e.g., road type, vehicle volume, vehicle speed, road undulation and curve, etc.), but also whether the specific light waves and sound waves used as the "alarm signal" are going to be more effective with some of our native species compared to others.

The broad focus of this PhD project is to determine whether there are ways that could make the existing devices more effective and species specific, thus reducing roadkill even more. The final aim will be to design, build and field-test a state-of-the-art (and hopefully low-cost) electronic device with wide-spread testing, at numerous sites in Tasmania, for a number of endemic species, and under a variety of scenarios (such as road type and vehicle speed, as mentioned above).

Eligibility

The following eligibility criteria apply:

  • 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, such as a research Master's degree or a coursework Master's degree with a substantial research component awarded high marks, or relevant and substantial research experience in an appropriate sector.

Candidates with a Science, Technology or Engineering background are eligible to apply.

Please see the following web page for entry requirements: https://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 webpage.

Information about scholarships is available on the Scholarships webpage.

More Information

Please contact Bernardo Leon de la Barra for more 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

14th May 2021

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

The Research Project

The seasonal cycle of Antarctic sea ice, ranging from about 3 million square km in late summer to 19 million square km in early spring, represents the largest seasonal physical change on the surface of the Earth. It regulates the energy balance at high southern latitudes by both increasing the reflectivity of the Earth, thus leading to less solar energy being absorbed, but also by insulating the relatively warm ocean from the cold atmosphere.

Antarctic sea ice is notoriously difficult to accurately model. While great strides have been made in recent years, several missing processes remain. One such missing process is the representation of Landfast ice, known more simply as "fast ice". Fast ice, is sea ice which is held stationary by being mechanically fastened to stable coastal elements. Like pack ice, fast ice is largely seasonal, and forms a fringe around many parts of the Antarctic coastline. Fast ice variability is thought to be an indicator of climate change, however its drivers are incompletely understood. Its distribution is closely linked to the location of coastal polynyas: "sea ice factories" where the relatively warm ocean is directly exposed to the much colder atmosphere. Cold, salty and very dense water is formed in polynyas as a by-product of sea ice formation there, and as such, polynyas are hotspots of dense water formation. This dense water can go on to drive the global thermohaline circulation. Despite the importance of fast ice, it is currently not represented in most regional ocean-sea ice models.

This project aims to address this shortcoming by building upon the work of international collaborators and incorporating fast ice into a high resolution regional sea ice-ocean model in East Antarctica. The successful student will develop an existing ice-ocean model to include realistic Antarctic fast ice, validate this model using observations of both fast ice and physical ocean properties, and perform a series of experiments with it to both a) determine the drivers of Antarctic fast ice, and b) determine the role of fast ice in the formation of dense water masses on the continental shelf

Eligibility
  • Strong maths/physics background
  • Strong analytical skills, especially with scientific analysis/programming software (e.g., Python, Matlab)
  • Strong English written and oral communication skills
  • Demonstrated record of independent research (e.g. Honours, or Masters by Research)
  • Experience with fluid dynamics, especially in a geophysical modeling context (ocean, atmosphere or other fluid modeling)
  • Experience using supercomputer and related infrastructure (e.g., linux skills)
  • Geospatial analysis and satellite remote sensing 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, Dr Alex Fraser for further information.

Closing Date

14th May 2021

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

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, Dr Andy Fischer, for further information.

Closing Date

14th May 2021

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 the application of artificial-intelligence-based approaches to automation of the process of image annotation for seabed images collected with the aim of describing the cover and/or condition of key species (such as kelps and corals) or overall species biodiversity. It will utilise an extensive image annotation dataset developed by IMAS researchers across a range of applications to compare and contrast the latest developments in AI-based approaches to object detection, in their ability to automate reporting of the cover of key metrics and key species.

Eligibility
  • An Engineering Degree (Hons) level background with experience in object-detection methods applicable to imagery analysis
  • Familiarity with programming relevant to AI software and its adaptation, as well as automated reporting of outputs
  • Interest in marine biology/diversity and ability to work as part of a team, as the project will integrate with IMAS researchers working with imagery, CSIRO engineers working on AI methods, the Uni of Sydney Robotics team, and the IMOS UMI facility team

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, A/Prof Neville Barrett for further information.

Closing Date

1st September 2021*

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

*unless filler earlier

The Research Project

This project will support marine conservation and small-scale fisheries management throughout the Indo-Pacific region by developing novel strategies to incorporate data on fish movements into management decision making. The project will form part of ongoing research projects at the Institute for Marine and Antarctic Studies (IMAS), University of Tasmania, providing exciting opportunities for the successful candidate to build an international network and impact real-world management decisions.

Eligibility
  • Demonstrated skills or strong interest in complex quantitative and spatial data analysis
  • Strong interest in marine science, conservation planning and fisheries management
  • Strong communication skills (oral and written) and a keen interest in scientific publications
  • Willingness to learn programming languages (Matlab and R)
  • Demonstrated capacity to work independently

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, Dr Nils Krueck for further information.

Closing Date

14th May 2021

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

The Research Project

Waste management is a critical issue, and a range of innovative solutions have been proposed to minimise or eliminate certain products in the waste stream. In the past five years, products marketed as "biodegradable" and "compostable" have become more widely available and affordable. The PhD candidate will investigate the performance of key products in order to inform waste management policy in Tasmania, and Australia more broadly

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 plastic pollution and/or waste management and policy issues

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, Dr Jennifer Lavers for further information.

Closing Date

14th May 2021

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 be undertaken in association with a number of anticipated grants and contracted research that have yet to be finalised. This includes the new NESP2 Marine Biodiversity Hub, a Parks Australia community science grant application to develop ROVs as a monitoring tool, a developed, but not yet finalised project with Parks Australia to undertake a survey in the Tasman Fracture Marine park in summer 2020/21 (using BRUVS/ROVs and AUV), a survey of fish assemblages in the Huon and Freycinet AMPs for Parks Australia in summer 2021/22 (in discussion, awaiting commonwealth budget outcomes), and a component of the FRDC project establishing a monitoring program in Storm Bay as part of aquaculture expansion.

As the PhD will entail a subset of the individual survey components, and will be simply value-adding to current and proposed projects, there are no specific extra costs associated with it. All subsequent work will be desk-based analysis of the acquired imagery.

Eligibility
  • Sound knowledge of the core principles of coastal marine ecology and the physical drivers of ecosystems
  • A background in quantitative marine science or similar, such as the 3rd year quantitative methods unit offered by UTas/IMAS
  • Experience in operation of coastal vessels

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, A/Prof Neville Barrett for further information.

Closing Date

14th May 2021

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 supports the ARC Research Hub for Sustainable Onshore Lobster Aquaculture. The overall goal is to 'domesticate' one or more tropical seaweed species not previously grown in on-shore aquaculture, and test their suitability for integrated multi-trophic aquaculture with the rock lobster (Panulirus ornatus).

Eligibility
  • Experience in marine macroalgal (seaweed) nutrient and photosynthetic physiology
  • Experience cultivating seaweeds
  • Experimental design
  • Statistical analysis of data
  • 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

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, Prof Catriona Hurd for further information.

Closing Date

14th May 2021

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

The Research Project

Marine environments are under increasing stress from organic pollution, generated from anthropogenic sources such as sewage outflows and aquaculture activities. In soft-sediment environments, organic pollutants can result in changes in the community structure of the bacterial and macrofauna communities (i.e. OTU or species density and richness and abundances of opportunistic or pollution sensitive species). This project will develop critical insights into how to effectively monitor organic pollution in the marine environment using newly developed molecular and functional approaches.

Eligibility
  • First class honours
  • The successful applicant should have a background in one or more of the following fields: marine ecology, quantitative ecology, molecular ecology with an interest or experience in working across multiple disciplines
  • Experience in field sampling, molecular ecology, and use of statistical programs including R gui

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, Dr Beth Strain for further information.

Closing Date

14th May 2021

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

The Research Project

As part of fisheries management and biodiversity field projects, this student research will focus on fine scale delineation of dietary content of the giant crab by combining observational, morphological and molecular genetic approaches.  This information will then be used to elucidate habitat/fishing ground specific signatures that may assist in informing and managing this valuable fishery.

Conventional morphological and observation studies on diet in marine systems are not only logistically difficult to conduct and laborious but can be inconclusive. This is especially true where the animal in question feeds on carrion whose identification can be almost impossible using morphology. However, recent advances in DNA sequencing (and analyzing) has enhanced the capacity to identify constituents of diet, including from fecal material. This study will specifically explore the feasibility of employing DNA metabarcoding and its reciprocal validation with observational and morphological approaches to establish habitat/fishing ground specific dietary signatures of the giant crab.

Eligibility
  • A degree (MSc, honours) in fields related to marine biology, physiology or molecular biology
  • Advanced molecular biology (including NextGen sequencing and or genomics) and quantitative ecology skills are highly desirable, so is experience in crustacean biology. Quantitative skills and familiar with programming languages such as R or MatLab

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, A/Prof Sean Tracey for further information.

Closing Date

14th May 2021

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

The Research Project

The project will use a combination of observations from ships, moorings, and floats to investigate drivers of changes in air-sea CO2 exchange and carbon cycling in the Subantarctic Zone and the Australian Antarctic Sector. Outcomes from this project will contribute to national (AAPP) and international (SOOS) programs.

Eligibility
  • The successful applicant, whose first degree might be in marine, environmental or earth sciences, or physics/chemistry/engineering, will have an aptitude for multidisciplinary research, good quantitative and computing skills, and an interest in laboratory and field-based experimental work
  • Experience in chemistry and/or physical oceanography, experience with time series analysis and/or working with large datasets

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, Dr Cathryn Wynn-Edwards for further information.

Closing Date

14th May 2021

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

The Research Project

Integrated Multi-Trophic Aquaculture (IMTA) and in particular seaweed aquaculture has huge potential, with estimates suggesting this could be a $100M industry by 2025. This project seeks to support the development of a sustainable integrated aquaculture model and viable seaweed industry in Tasmania/ Australia by providing a more realistic understanding of the true economic value of this industry; identifying costs and benefits, including the intangible costs, and trade-offs so that managers and investors can make fully informed decisions.

Eligibility
  • First class honours or equivalent in Resource Economics, Human Geography, Natural Resource Management, Social Sciences, Environmental Science or related discipline
  • Demonstrated proficiency in written and verbal English language
  • Background in multicriteria analysis and/or marine resource management or resource economics

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, A/Prof Catriona MacLeod for further information.

Closing Date

14th May 2021

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 improve the characterization of the Antarctic Circumpolar Current fronts' variability and change. The analysis iscircumpolar with the observational and reanalysis datasets.

Eligibility
  • Strong background in Mathematics and Physics. Matlab or Python coding and shell scripting experience
  • Ocean dynamics, datasets analysis, ease with heavily computing based work

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, Dr Annie Foppert for further information.

Closing Date

14th May 2021

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

The Research Project

Conservation of marine benthic biodiversity is an important international goal guided by programs such as the United Nations Convention on Biodiversity (CBD). To optimize the achievement of conservation goals, information regarding the distribution of life in the ocean is needed to guide the planning of marine protected areas (MPAs). In an ideal sense, such information would include the global distribution of benthic biodiversity. However, such maps do not exist for many areas and it is not possible at present to predict the spatial distribution of all marine life using the sparse biological information currently available.

The aim of this study is to evaluate the global benthic deep-sea habitats as an indicators of benthic habitat distribution, applying multivariate classification to existing seafloor geomorphic and oceanographic data sets. In addition, this project will create predictive habitat distribution maps for future climate scenarios, incorporating seabed geomorphology and dynamic seafloor processes.

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, Dr Andy Fischer for further information.

Closing Date

14th May 2021

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

The Research Project

Humankind needs to remove 100-900 gigatons CO2 from atmosphere by the end of the 21st century to keep global warming below 2°C. This herculean task depends on the wide-ranging application of so-called negative emission technologies (NETs). Unfortunately, not a single NET has been proven to function at the gigaton-scale. One of the most promising ideas is to accelerate weathering reactions of minerals that consume CO2 when they dissolve (known as "Ocean Alkalinity Enhancement"). However, the desired consumption of atmospheric CO2 during dissolution would inevitably perturb the oceans with huge amounts of mineral dissolution products (alkalinity, Si, trace metals).

This PhD project will investigate if and how Ocean Alkalinity Enhancement could affect growth and metabolic rates of marine phytoplankton, which are responsible for ~50% of primary production on Earth. The candidate will conduct a range of laboratory incubation experiments and participate in at least one international ship-voyage in the South Pacific. This enables us to cover phytoplankton from different biomes including key functional types, such as diatoms, cyanobacteria and coccolithophores. The overarching goal is to contribute, significantly, to the assessment of Ocean Alkalinity Enhancement as a tool to counteract climate change.

Eligibility
  • Honours or Master degree in biological or chemical oceanography or closely related field (e.g. environmental microbiology). Preferably experience with phytoplankton
  • Great abilities to work in teams and collaborative environments
  • Ability to spend extended periods abroad or on international research vessels during field studies
  • Enthusiasm for scientific discourse and progress
  • Fluent English skills
  • Very good writing skills
  • Reliable and highly motivated

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, Dr Lennart Bach for further information.

Closing Date

14th May 2021

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

The Research Project

Humankind needs to remove 100-900 gigatons of CO2 from the atmosphere by the end of the 21st century to keep global warming below 2°C. This herculean task depends on the wide-ranging application of so-called negative emission technologies (NETs). Unfortunately, not a single NET has been proven to function at the gigaton-scale. One of the most promising ideas is to accelerate weathering reactions of minerals that consume CO2 when they dissolve (known as “Ocean Alkalinity Enhancement”). However, the desired consumption of atmospheric CO2 during dissolution would inevitably perturb the oceans with huge amounts of mineral dissolution products (alkalinity, Si, trace metals).

This PhD project will investigate if and how Ocean Alkalinity Enhancement could affect growth and photosynthesis of marine phytoplankton, which are responsible for ~50% of primary production on Earth. The candidate will conduct a range of laboratory incubation experiments and participate in at least one international mesocosm study off the coast of Norway or the Canary Islands (Spain). Furthermore, the candidate will participate in an indoor mesocosm experiment where estuarine phytoplankton communities from Tasmania are investigated. The research within this project aims to test the “green or white ocean hypothesis”, which suggests that coccolithophores will be the winners when carbonate minerals will be used (white ocean), while diatoms and cyanobacteria will win when silicate minerals will be used (green ocean). The overarching goal is to contribute, significantly, to the assessment of Ocean Alkalinity Enhancement as a tool to counteract climate change.

Eligibility
  • Honours or Master degree in biological or chemical oceanography or closely related field (e.g. environmental microbiology). Preferably experience with phytoplankton
  • Great abilities to work in teams and collaborative environments
  • Ability to spend extended periods abroad or on international research vessels during field studies
  • Enthusiasm for scientific discourse and progress
  • Fluent English skills
  • Very good writing skills
  • Reliable and highly motivated

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, Dr Lennart Bach for further information.

Closing Date

14th May 2021

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

The Research Project

Biofouling is a challenge for the aquaculture industry in Tasmania; limiting production outcomes by potentially restricting water movement through infrastructure, providing a vector for pests and pathogens, and additional complexity for harvest operations. As aquaculture moves offshore, the nature and behaviour of biofouling communities in these environments is relatively unknown. To develop successful management strategies it is essential to better understand the risk posed by biofouling in these new situations, in particular the species present and timing of fouling.

This project will provide the critical baseline data with which to understand how environmental conditions and farm management influence the composition and ecology of biofouling communities associated with salmon aquaculture around Tasmania.

This project is supported by the Blue Economy CRC, with further information on this program found here: https://blueeconomycrc.com.au/education/phd-opportunities/

Eligibility
  • First class honours or equivalent in biology, ecology or a related field of research
  • Demonstrated proficiency in written and verbal English language
  • Knowledge of hard substrate or biofouling assemblages
  • Experience in working with aquaculture industry
  • Coxswains certificate, or ability to obtain one

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, Dr Camille White for further information.

Closing Date

14th May 2021

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

The Research Project

Integrated Multi-Trophic Aquaculture (IMTA) and in particular seaweed aquaculture has huge potential, with estimates suggesting this could be a $100M industry by 2025. This project seeks to support the development of a sustainable integrated aquaculture model and viable seaweed industry in Tasmania/ Australia by providing an understanding of the potential impacts of biofouling and how that might be affected by regional and temporal differences with a view to optimising site selection and husbandry practices.

Eligibility
  • First class honours or equivalent in biology, ecology, or related discipline
  • Demonstrated proficiency in written and verbal English language
  • Background in aquatic botany, environmental science or aquaculture

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, A/Prof Catriona MacLeod for further information.

Closing Date

14th May 2021

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

The Research Project

Marine environments are under increasing stress from organic pollution, generated from anthropogenic sources such as salmon aquaculture activities. Globally, salmon aquaculture is developing rapidly in Tasmania and elsewhere. This could have significant benefits for the economy and coastal communities, but it is important that such growth is environmentally sustainable, well-regulated and socially acceptable in the local community.

To address these needs, salmon aquaculture companies are seeking to expand their production into more exposed locations, offshore environments and by co-culturing multiple species through the process of integrated multitrophic aquaculture. This project will for the first-time asses the social license and potential sources of conflicts of these three options (i.e. exposed locations, offshore and integrated multi-trophic aquaculture) at both government and industry level using four key case-study locations, Tasmania, New Zealand, Norway and Scotland.

Eligibility
  • First class honours
  • The successful applicant should have a background in one or more of the following fields: social science, policy, marine ecology with an interest or experience in working across multiple disciplines
  • Experience in surveys, interviews and participatory mapping

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, Dr Karen Alexander for further information.

Closing Date

14th May 2021

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

The Research Project

The collapse of reef ecosystems represents one of the greatest threats for biodiversity and seafood production worldwide. Concerningly, the recovery potential of collapsed reefs is largely unknown due to a lack of understanding of feedback mechanisms which can act to lock reefs into a collapsed state. This project will address recovery potential of Australian reefs by quantifying mechanisms promoting persistence of degraded turf-dominated reef states, which are an ultimate manifestation of collapse for temperate to tropical reefs.

The project will involve extensive SCUBA fieldwork to survey and conduct experiments to understand the stability of collapsed turf-dominated communities on temperate and tropical reefs. An explicit aim will be to determine unifying drivers, or idiosyncratic responses, of turf persistence stability across biogeographical scales. Fieldwork will be complimented with laboratory experiments in select locations.

Eligibility
  • High proficiency in scientific writing, data analysis
  • SCUBA certification + >30 hrs experience underwater
  • Experience running field experiments
  • Scientific diving qualification
  • Vessel license
  • Peer-reviewed publications, especially first author publication

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, Dr Scott Ling for further information.

Closing Date

1st June 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

Antarctic marine ecosystems provide ecosystem services that are important on a global scale, and there is a strong imperative to understand and predict the responses of these systems and services to current and future climate change. An implementation of the Atlantis end-to-end ecosystem model has been developed for the East Antarctic region, and is well suited to exploring scenarios to evaluate potential climate change impacts on ecosystem structure and function.

In this project, the successful candidate will work with modelling experts to complete the calibration of the East Antarctic Atlantis model, and to use the calibrated model to explore simple scenarios for ecosystem change. In the second part of the project, the candidate will update representations of sea ice and ice-dependent species in the model, and consider more detailed scenarios for change in sea ice habitats.

Eligibility
  • First class Honours or Masters equivalent research in science, mathematics or related discipline
  • Demonstrated proficiency in written and verbal English language
  • Experience in programming, and quantitative ecology, and knowledge of marine ecosystems
  • Experience with C and R programming languages, ecosystem modelling, knowledge of Antarctic marine ecosystem and climate change

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, Dr Sophie Bestley for further information.

Closing Date

14th May 2021

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 biggest challenges for aquaculture, both financially and environmentally, is feed production. Due to ecological concerns about the impacts of catching small wild-fish to feed farmed larger ones there has been a dramatic reduction in the use of fishmeal in feed. In contrast, there has been an increasing proportion of cereal and soya production channeled towards aquaculture. Critically, the implications of diverting resources from direct human consumption of these staple crops as well as the ecological consequences of introducing new terrestrial links into aquatic food webs has been neglected.

Aquaculture feed composition is varied and complex drawing nutritional components from a diverse array of sources including fish meal and oil, plant protein (primarily wheat, soy and lupin), seed oil (such as soy and canola) farmed micro algae and insects as well as terrestrial waste streams such as feather, blood, and meat and bone by- products. At the extreme ends, feed can be entirely fish-free, low fish meal/oil (the status quo) or high fish meal/oil feeds (historical products). Novel feeds can include insects, micro/macro algae, yeasts and various additives and enzymes such as phytase to liberate usable phosphate from recalcitrant polyphosphates. Understanding the detailed ecosystem impacts of these different feed compositions has been challenging.

One potential although poorly resolved impact at the local scale may be driven from the stoichiometric relationship between macronutrients. After plant seeds have been partially digested by exogenous phytase, macro nutrient stoichiometries do not correlate with the environmental stoichiometries of the same nutrients. This causes imbalances in N and P that are known to regulate the structure ecological communities. For example, elevating P relative to N can lead to community N deficiency, which leads to overabundance of N-fixers in the community. In the aquatic environment this would lead to blooms of N-fixing cyanobacteria, organisms with known toxic effects on both fish and humans.

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, Dr Julia Blanchard for further information.

Closing Date

14th May 2021

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

The Research Project

The Tasmanian oyster aquaculture industry produces a high-quality seafood delicacy. In the interests of public health, the industry operates within tight food safety regulations that require closure of harvest when faecal bacteria are present above specified levels. Microbial water quality in estuarine systems is highly dependent on faecal run off from the catchment as faecal sources may come from native, human or a variety of agricultural animals.

Modern genetic technologies including long-read nanopore sequencing that may be used in situ will be used in this project to improve our understanding of local or farm-specific sources of microbial inputs and their environmental drivers. These molecular technologies will better inform industry and its management practices and may assist or even provide improved industry regulatory methods.

Eligibility
  • Graduates with a strong academic record (e.g. BSc Hons, MSc or equivalent qualifications demonstrated by publication record) in microbiology, aquaculture, ecology, marine biology and zoology or similar
  • Research experience or undergraduate training in aquaculture, physiology, microbiology, or molecular biology
  • Demonstrated experience in aquaculture 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, A/Prof Andrew Bridle for further information.

Closing Date

14th May 2021

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

The Research Project

From temperate to tropical seas, the collapse of reef ecosystems represents one of the greatest threats for biodiversity and wild fisheries production worldwide. Concerningly, the recovery potential of collapsed reefs is poorly understood due to a lack of understanding of feedback mechanisms that can act to lock reefs into collapsed states. This project will address recovery potential for Australian reefs by quantifying rates of predation and herbivory on healthy to collapsed reefs.

The project will involve extensive SCUBA fieldwork to conduct standardised surveys and experimental assays to quantify rates of predation and herbivory for temperate and tropical reef communities. An explicit aim will be to identify the existence of unifying drivers of predation and herbivory, or idiosyncratic responses, across healthy to collapsed temperate and topical reefs.

Eligibility
  • High proficiency in scientific writing, data analysis
  • SCUBA certification + >30 hrs experience underwater
  • Experience running field experiments
  • Scientific diving qualification
  • Vessel license
  • Peer-reviewed publications, especially first author publication

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, Dr Scott Ling for further information.

Closing Date

14th May 2021

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

The Research Project

Polar ice cores are essential tools for the reconstruction of past climate. Especially valued are the air bubbles entrapped in thebice, which constitute unique archives of the Earth's past atmosphere. However, physical features in ice core records - such as bubble-free ice layers and microcrystal structure changes - are a poorly studied aspect of palaeoclimatology and ice sheet dynamics. They represent the potential to be entirely new past climate archives that can be sampled from new or existing ice core records in a non-destructive manner, via intermediate layer ice core scanning (ILCS).

Using a unique combination of datasets and approaches, this project aims to identify both the regional atmospheric processes driving the formation of physical features such as bubble-free layers and determine the snow surface conditions and physical mechanisms that occur to deposit the layers. Regional atmospheric and local meteorological conditions will be used to force the physically based snow model allowing investigation of the unique combination of factors required to form and preserve the bubble-free ice layers. The outcome of this work will form the basis of the development of an entirely new climate proxy for regional (synoptic to seasonal scale) atmospheric variability.

Eligibility
  • Strong analytical skills, especially with scientific analysis/programming software (e.g., Python, Matlab)
  • Geophysical and/or glaciological background
  • Strong English written and oral communication skills
  • Demonstrated record of independent research (e.g. Honours)
  • Experience with ice core sample processing and dating, data analysis, time series analysis and proxy evaluation
  • Experience with atmospheric reanalyses datasets and/or model outputs

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, Dr Sarah Thompson for further information.

Closing Date

14th May 2021

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

The Research Project

Ensuring that global warming remains below 2°C requires rapid CO2 emissions reduction. Additionally, 100–900 gigatons CO2 must be removed from the atmosphere by 2100 using a portfolio of Negative Emission Technologies (NETs). The ocean could be a vital component to realize such amounts of negative emissions but there are numerous uncertainties, so that the efficacy and maximum potential of ocean-based NETs (ONETs) is currently unclear. Many of these uncertainties are due to the complicated movement and mixing of water in the global oceans.

This project aims to investigate some of the most important physical uncertainties of ONETs using high resolution physical models and observational data. The outcomes of this study will improve the assessment of ONETs and help us to decide whether they can significantly contribute to keeping global warming below 2°C.

Eligibility
  • Honours or Master degree in physical oceanography or closely related field (e.g. physics)
  • Good understanding of global biogeochemical cycles (ideally based on hands-on work with biogeochemical models)
  • Experience in Lagrangian particle tracking in ocean or climate models
  • Excellent computational skills with software such as Matlab or Python
  • Experience with High Performance Computing
  • Great abilities to work in teams and collaborative environments
  • Enthusiasm for scientific discourse and progress
  • Fluent English skills
  • Very good writing 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, Dr Lennart Bach for further information.

Closing Date

30th June 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

Set within a broader integrated strategy, encompassing genetic control, this Ph.D. project will build on historic capture data, daily age structure and reproductive traits at field sites on the southern (Tamar Estuary, Tasmania) and northern (Edgbaston reserve, Queensland) extremities of Gambusia incursions in Australia. This to assess population and incursion dynamics (including the scale of incursions) at the study sites, and if feasible, to develop broad-scale predictive models across the latitudinal cline, incorporating environmental data (e.g., temperature, photoperiod, pH and turbidity).

The study is expected to provide valuable information for designing suppression measures and managing invasiveness of G. holbrooki populations at the sites and for making predictions across the latitudinal bounds.

Eligibility
  • Honours or equivalent degree in Biology with specialisation is Fisheries or Fish biology
  • Experience in ageing fish, assessment of population parameters, population dynamics and quantitative platforms such as R and Python are desirable
  • Applicants will be assessed and ranked according to the quality of their entry level research degree (honours/masters), prior peer reviewed publications, academic awards, project-specific skills, training or relevant industry experience, referee's reports and supervisory support

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, Jawahar Patil for further information.

Closing Date

14th May 2021

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

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.

The following eligibility criteria apply to this project:
  • This project requires a student with strong chemistry lab skills
  • 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

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, Prof. Zanna Chase for further information.

Closing Date

14th May 2021

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

The Research Project

The speed of Antarctic glaciers can vary substantially on tidal time scales. Using a combination of GPS observations and numerical modelling, this project will use glacier velocities to draw conclusions around ice shelf dynamics, the interaction of ice and its bed and the sensitivity of glaciers to changes in forcing.

Eligibility
  • Bachelor of Science with Honours (first class or equivalent)
  • Demonstrably strong quantitative skills (mathematics and physics background)
  • Experience in coding/programming, particularly using Fortran
  • Understanding of glaciers and ice sheet behaviour
  • Experience in software development

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, Dr Sue Cook for further information.

Closing Date

31st October 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 project aims to explore decision-makigng for blue economy programs. The research will identify forms of engagement, enhance awareness of managing divergent demands and tensions as well enable learning between stakeholders.

Eligibility
  • Knowledge of key Blue Economy programs; skills in qualitative research methods and tools, awareness of appropriate quantitative methods and tools
  • Experience in Blue Economy policy development

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, Prof Marcus Haward for further information.

Closing Date

14th May 2021

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

The Research Project

Seaweeds are the base of coastal temperate ecosystems providing habitats, and supplying energy, to higher trophic levels. Ocean acidification and warming are a serious threat to coastal ecosystems that result from anthropogenic increases in atmospheric carbon dioxide. This project will examine the responses of seaweeds to both global (ocean acidification and warming) and local (light and nitrogen) drivers.

Eligibility
  • Expert knowledge on ocean acidification and its affect on seaweed metabolism
  • Seaweed photosynthetic physiology
  • Knowledge of seawater carbonate chemistry and its manipulation
  • Ability to work independently or in a team
  • Knowledge of experimental design and statistical analysis of data

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, Prof Catriona Hurd for further information.

Closing Date

30th September 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 Blue Economy will see significant investment in offshore marine and maritime industries. This project seeks to develop the robust marine spatial planning (MSP) tools to ensure this offshore development is sustainable - providing jobs, food, economic growth at the same time as supporting the ecosystem processes essential for the planet.

Eligibility
  • First class honours or Masters equivalent research in science, mathematics or related discipline
  • Demonstrated proficiency in written and verbal English language
  • Experience in programming and quantitative ecology, and knowledge of marine ecosystems and MSP concepts and tools
  • Background in multicriteria analysis and/or marine resource management and policy frameworks
  • Specific experience in MSP development and implementation
  • Experience in applying spatial analysis and mapping approaches for management and decision support systems (e.g. Marxan/MarxanWithZones, Ecospace, Atlantis, EMDS, Mara, ArcMap and R Programming)

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, A/Prof Catriona MacLeod for further information.

Closing Date

14th May 2021

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

The Research Project

Do you know how important Antarctic sea ice is for the global climate? Neither do we (nor does anyone else!). But we do know that sea ice plays a key role in the global ocean's uptake of 90% of the heat trapped on the planet by anthropogenic emissions, so this is an important question. We are looking for a motivated, creative individual with strong quantitative skills to tackle that question, as part of a world-class team oceanographers and sea ice experts.

The successful applicant will use data from the state-of-science climate models that are used to inform IPCC reports, to investigate how Antarctic sea ice affects the circulation of the Southern Ocean, how well those processes are represented in the models, and the global implications of those processes in a warming climate. Over the course of the project, the student will communicate their research in top tier scientific journals, and at domestic and international conferences.

Eligibility
  • Bachelors degree (with Honours) or Masters degree in a Mathematical or Physical Science discipline- Strong mathematical skills
  • Excellent written and oral communication skills in English
  • Demonstrated experience in individual research (e.g. Honours thesis, Masters dissertation)
  • Experience using a high-level scripting language for data analysis/visualisation (e.g. Python, MATLAB, NCL)
  • Experience in analysis or ocean, atmosphere or coupled 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, Dr Will Hobbs for further information.

Closing Date

14th May 2021

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

The Research Project

During the Last Glacial Maximum (LGM) ice sheets were substantially increased in size compared to present day, resulting in sea levels lower by 120-130m globally. Modelling suggests this reduction in ocean volume resulted in dramatic increases in ocean tide amplitudes (Arbic et al., 2004; Egbert et al., 2004; Griffiths and Peltier, 2008; Griffiths and Peltier, 2009) with consequently increased tidal current speeds. Tidal currents are now known to play an important role in present-day basal melting of Antarctica's ice shelves (Makinson et al., 2011; Mueller et al., 2012). The interaction between the Antarctic ice sheet and tidal currents during and after LGM has not yet been examined.

Eligibility

Applicants from the following disciplines are eligible to apply:

  • Oceanography
  • Physics/Mathematics
  • Computational Fluid Dynamics

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, Dr Ben Galton-Fenzi for further information.

Closing Date

14th May 2021

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

The Research Project

Quantifying the distribution and variability of phytoplankton abundance in the global oceans is a formidable challenge that has generated numerous instruments and approaches – all with their respective advantages and disadvantages. In the Southern Ocean, cloud cover frequently hampers satellite assessment of chlorophyll concentrations (Chl), and fluorescence sensors mounted on autonomous platforms may overestimate chlorophyll concentrations by up to a factor 8 (Roesler et al. 2017, L&O Methods, 15(6), 572-585). Confident estimates of global ocean productivity are similarly hampered by a lack of information regarding the physiological status of phytoplankton.

In this project, the successful candidate will explore data from optical instruments on moorings and biogeochemical Argo floats as well as satellites to improve estimates of Chl and of the physiological status of phytoplankton in the Subantarctic Southern Ocean. Most of the work is based on existing data, but oceanographic field work is a possible component of this project.

Eligibility
  • First-class Honours or Masters equivalent research in a quantitative physical or biological science or engineering
  • High level of programming experience, preferably in Matlab, R or Python
  • Interest in ocean optics and phytoplankton photophysiology
  • Demonstrated proficiency in written and verbal English language
  • Familiarity with ocean biogeochemistry

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, Dr Christina Schallenberg for further information.

Closing Date

14th May 2021

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

The Research Project

This project seeks to understand the physical processes and drivers of marine heatwave characteristics (metrics) around Australia, their lags, how these processes contribute skill to the prediction of marine heatwaves on subseasonal to seasonal timescales, and how this new knowledge can be potentially utilised in the BoM's marine heatwave seasonal prediction system.

This project strongly aligns with the goals of the ARC Centre of Excellence for Climate Extremes, and IMAS and CoSE priorities associated with understanding the science of climate variability and change.

The following eligibility criteria apply to this project:
  • Bachelor of Science with Honours (First Class or equivalent)
  • Background in ocean or climate science
  • Experience with coding in MATLAB, python or R
  • Experience handling climate data in a Linux environment
  • Demonstrably strong quantitative skills (mathematics and physics-based background)
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, Prof Neil Holbrook for further information.

Closing Date

14th May 2021

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

The Research Project

This study will investigate the dynamics, causes and structures of marine heatwaves from a Lagrangian perspective and proposes to develop a methodology to predict marine heatwaves on multiple timescales for the benefit of marine fisheries and ecosystem managers.

Eligibility
  • The equivalent of a Bachelor of Science Honours degree (first class or equivalent)
  • Background research in physical oceanography, atmospheric science or climate science; experience with coding in MATLAB or python; experience handling climate data in a Linux environment; demonstrably strong quantitative skills (mathematics and physics background)

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, Prof Neil Holbrook for further information.

Closing Date

14th May 2021

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

The Research Project

In the past decade, the main mass loss in the East Antarctica was dominated by the Wilkes Land, which was attributable to the increases in ocean-induced basal melt. Using a coupled ice sheet ocean model, this project will explore the ice ocean interaction to better understand the significant role of warm water intrusion on the ice sheet instability in Wilkes Land and inform future field campaigns in this region.

Eligibility
  • Bachelor of Science with Honours (first class or equivalent)
  • Demonstrably strong quantitative skills
  • Experience with programming languages and analysis software such as python and Matlab
  • Understanding of ice dynamics or geophysical fluid dynamics or ice ocean interaction
  • Experience of numerical modelling

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, Chen Zhao for further information.

Closing Date

14th May 2021

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

The Research Project

This project seeks to integrate metagenomics and traditional
underwater visual surveys of reef communities around Australia to
better understand the richness and distribution of marine
biodiversity, and the full complexity of food webs. The work will
provide a unique test and validation of eDNA/RNA approaches at a
range of scales that is currently unprecedented.

Eligibility
  • Training and experience in molecular biology techniques.
  • Bachelor of Science with Honours (first class or equivalent) or Master of Science with independent research project.
  • Ability to complete requirements and register for diving at the University of Tasmania.
  • Extensive SCUBA diving experience.
  • Proficiency in R.
  • Training and experience in molecular biology techniques.

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

Selection 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 Prof Graham Edgar for further information.

Closing Date

14th May 2021

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

The Research Project

The Giant Crab Fishery (GCF) is looking for ways to improve stock management. A lack of quality stock assessment data has led to increasing uncertainty in the population of crabs. This project is pioneering a new method of collecting quality data for use in population models that can more accurately assess the state of the fishery. Using Visual Intelligence, a combination of visual processing and machine learning, images of Giant Crabs can be used to collect size, sex and unique ID of individuals.

The successful applicant will assist in the development of image capture process that will eventually be trialled within the GCF. They will also develop models using Visual Intelligence to retrieve crab data from the images. It is hoped this data gathering process will be rolled out in southeast Australian GCF and assist in the sustainable management of the industry.

Eligibility
  • A degree (MSc, honours) in fields related to information and communication technology
  • Machine learning and Data analysis (highly desirable)
  • Programming (familiar with at least one of the following programming languages: Python, C/C++, Java, .NET, MATLAB)
  • Computer Vision (optional)

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, Dr Scott Hadley for further information.

Closing Date

14th May 2021

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

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, A/Prof David Beynon for further information.

Closing Date

14th May 2021

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

The Research Project

Since 2006, the internationally recognised and nation leading thermal and hygrothermal research from the University of Tasmania, has provided technical guidance for Australian regulatory and policy development. This has included technical advice for the Nationwide House Energy Rating Scheme (NatHERS), the Australian Building Codes Board, State Governments and Industry.
Some of the most critical considerations for zero-energy and net-zero carbon buildings include:

  1. Building envelope thermal performance
  2. Whole of building hygrothermal performance
  3. Construction material hygrothermal performance
  4. Whole of building life cycle assessment
  5. Whole of region GIS informed planning.

However, international research has identified that some overly focussed methods for a low carbon future, may actually be creating interior environments that promote the occurrence of short-term and life-long cardiovascular and respiratory human health conditions.

The research within the hygrothermal research team at UTAS focusses on this nexus between the need to move toward a more productive and zero carbon future combined with providing durable, long-lasting and healthy interior and exterior environments. Within this research field, prospective students will evaluate and use world leading tools to develop a deep technical understanding of building physics and provide new knowledge to inform ongoing guidance to Government and Industry.

Eligibility
  • The project is open to Australian (domestic) candidates and to International candidates. Scholarship recipients must enrol 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 have established skill in programming and building physics as they relate to building thermal performance and building simulation
  • Applicants must be able to demonstrate strong research and analytical skills
  • 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, Dr Mark Dewsbury for further information.

Closing Date

14th May 2021

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

The Research Project

Processes of financialisation and marketisation produce collective norms and ideas of public 'common sense, as well as contradictions and schisms. In this context, this research project will consider the possibility of economized disruptions and dissent – disruptions and dissent that emerge within, rather than outside of economization. This can include big or small political moments that bring about radical re-orderings at micro or macro scales. It will contribute to understanding and facilitating the change required to address climate catastrophe and associated socio-political challenges.

Eligibility
  • Applicants 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

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, Dr Kate Booth 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

Social connectedness, support, and safe, local places in which to meet, nurture, and maintain those connections make important contributions to individual, family, and community health, resilience, and wellbeing. On that basis, governments at all levels, and private and community and health services have designed and funded programs and safe spaces to help create and practically support belonging and connectedness, and foster community wellbeing.

Their services often target specific cohorts to support those in certain age, socioeconomic, or diversity groups in particular communities and localities. However, communities also have informal groups and relationships, support networks, and carved-out safe places that embody aspects of connection, belonging, identity, and emotional and practical nurturing and support that these more formal structures seek to create and emulate. Such networks may not be discreet and specifically targeted and nor are they necessarily funded or structured. Rather, they emerge from and form part of the everyday life of community and place and, as such, stretch and flex across time, space, and life-courses.

The aim of this study is to identify such a network and, using qualitative and interpretive methods, to interview participants in that network and analyse the complex interplay of community, place, and context; gain an understanding of the attributes, dynamics, and geographies of such informal and taken-for-granted place based connections that support individual and community resilience and flourishing; and consider how these change over time and space. The outcome will be an enhanced understanding of the complexity and multifaceted nature of such networks, including potentially transferable lessons in how to enhance more formally conceived and created place and community-based programs.

Eligibility
  • First class or upper second honours
  • Publications or evidence of submitted manuscripts
  • Background in social research
  • Competency in use of qualitative data analysis tools
  • Evidence of capacity to manage projects on time and budget

Applicants from the following disciplines are eligible to apply:

  • Human geography

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, Prof Elaine Stratford for further information.

Closing Date

14th May 2021

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

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
  • Applicants with strong research and analytical skills in the following disciplines are invited to apply

Applicants from the following disciplines are eligible to apply:

  • Physics or Applied Mathematics
  • Quantitative Earth Sciences
  • Engineering
  • Geodesy (not Surveying or GIS)

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, Prof Matt King for further information.

Closing Date

14th May 2021

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

The Research Project

In a changing world, insurance and how households use and think about insurance is changing. For example, climate change is dramatically changing insurability. Housing trends are also informing underinsurance patterns. This research project examines the social and culture geographies of insurance, and critically interrogates changes unfolding from the perspective and experience of households. It contributes to understanding the role and power of insurers and insurance, how insurance and socio-ecological change can co-produce inequities and inequalities, and the action required to enable adaptive and just insurantial outcomes.

Eligibility
  • Applicants 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

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, Dr Kate Booth for further information.

Closing Date

14th May 2021

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

The Research Project

Economic and financial processes can appear abstract and universal in their constitution. In this research, you will explore the socio-spatial variegations of economic and financial discourses and practices. This may include collecting and analysing quantitative and qualitative data on household decision-making, experiences and perceptions. It will contribute to nuanced place-based understandings of the co-production of 'money', people and place, including the identification of new and emerging socio-spatial patterns of inequity and inequality.

Eligibility
  • Applicants 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

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, Dr Kate Booth for further information.

Closing Date

1st 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

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

14th May 2021

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

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, Dr Soonja Yeom for further information.

Closing Date

12th May 2021

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

The Research Project

Haptic technology is also widely used in education to enhance student's learning experiences with anatomy as it allows physical interaction with anatomical structures  (Kup-Sze, Hanqiu & Pheng-Ann 2003; Reid, Shapiro & Louw 2018; Yeom et al. 2013). It is evident that AR and haptic technologies encourage student learning of anatomy through exposure of the body visually by 3-D modelling, and physically with tactile feedback. There is a huge educational potential to apply AR and haptics in education of anatomy. However, it has not yet been widely researched or evaluated.

The purpose of the proposed research is to investigate the use of interactive 3D anatomical simulation, used in conjunction with haptic feedback, to determine if it improves students' learning. The research will compare the effectiveness of the combination of AR and Haptic technology to their use independently, as well as comparing it to existing learning methods, such as 2D images and interactive resources (CD/DVD).

The research will be undertaken into four stages:

  • Generation of interactive 3D anatomical models in a mobile device;
  • Applying haptic feedback when a user touches/interacts with the 3D models;
  • Integrating the simulation of AR with haptic feedback);
  • Comparison and Evaluation of effectiveness of AR/haptic education in anatomy against existing methods.
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, Dr Soonja Yeom for further information.

Closing Date

2nd April 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

Studies suggest the potential impact of blockchain in supply chains will be very significant and will contribute to improving the relationships between stakeholders through establishment of a safe, transparent and reliable "frictionless" method to exchange information and financial transactions. However, it is unclear to what extent these types of platforms are being used  in sustainable agribusiness, or to what extent they impose different challenges and risks especially on small and medium sized businesses who have limited supply chain power. Clearly facilitating any new technology to support sustainable production and consumption patterns and to reduce cost, risk and waste while increasing the product quality and market flexibility is positive – but is this happening and if not, why not?

This project investigates the potential designs and implementations of blockchains and investigates to what extent they are being deployed and to what effect. How is this technology impacting on track all used materials, including the dimensions of quality, quantity and ownership, over the whole supply chain in real-time?

Eligibility
  • The project is open to domestic (Australian and New Zealand) and international candidates
  • The PhD will preferably 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

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, Paul Turner for further information.

Closing Date

1st December 2021*

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

*unless filler earlier

The Research Project

Knowledge graphs (KGs) are large networks of entities and their semantic relationships.  It has been widely applied in multiple areas, including information retrieval, situation awareness and recommender systems. A KG can be represented as a set of triples (h, t ,r) in which h (head) and t (tail) are entities (nodes), and r (relation) is  the relation (edge) between the two entities. KG embedding is to represent the entities and relations in a continuous vector space. This is a critical process to make KG semantic meaningful and machine understandable, and normally achieved by using machine learning methods. Negative sample generation is an important process for KG embedding. It provides sufficient training samples for the KG embedding, and fill the vector to a continuous space.

KG was first designed to formalize unstructured natural language data. With the development of KG techniques, researchers are now exploring the use of KG in other domains, especially IoT, Cyber Physical Systems (CPS) and Cybersecurity. However, traditional KG mining and KG embedding methods have been mainly focused on NLP data, and are not suitable for the latest applications. This project will investigate the limitations of existing KG embedding and mining methods, and design novel algorithms that can mine KG data more effectively and handle the dynamics from complex application domains.

  1. Yongqi Zhang, Quanming Yao, Yingxia Shao and Lei Chen, NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding, https://arxiv.org/pdf/1812.06410.pdf
  2. Yantao  Jia, Yuanzhuo  Wang, Xiaolong  Jin, Hailun  Lin, Xueqi  Cheng , Knowledge Graph Embedding: A Locally and Temporally Adaptive Translation-Based Approach, ACM Transactions on the Web (TWEB), 2017
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

Applicants from the following disciplines are eligible to apply:

  • Computer science
  • ICT
  • Mathematical sciences
  • Electrical engineering

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, Dr Quan Bai 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

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

1st October 2021*

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

*unless filler earlier

The Research Project

Trust is a term used in many fields, including computer science, and has many different meanings [1] [2]. In this project, trust is used to generate some expectation of success in a collaboration between two separate entities/agents. Most of trust models assume single and homogeneous trust relationship between agents [3}. However, most of these models cannot handle dynamic environments.

Contextual information plays important roles in trust evaluation. Especially as ground truth is not available in many complex environments, trust is closely related with contextual factors including social relationships among entities, spatial temporal information, features and types of services, etc. To overcome some limitations in existing trust mining approaches, in the research we will investigate how to utilize contextual information in trust mining and develop a robust mechanism which can allow more accurate and reasonable trust evaluations.

In this project, the student will propose a context-aware trust model, which can take contextual information into trust analysis. The proposed model will be applied in open dynamic environments, and to improve collaborations among agents with different capabilities and skills, i.e., heterogeneous. Simulation-based experiments will be conducted to evaluate the performance of the proposed model.

References:

  1. Marsh, S.P., Formalising trust as a computational concept. Ph.D. dissertation, University of Stirling, Apr. 1994.
  2. Sabater, J. and C. Sierra, REGRET: reputation in gregarious societies, in Proceedings of the fifth international conference on Autonomous agents. 2001, ACM: Montreal, Quebec, Canada. p. 194-195.
  3. Tang, J., H. Gao, and H. Liu, mTrust: discerning multi-faceted trust in a connected world, in Proceedings of the fifth ACM international conference on Web search and data mining. 2012, ACM: Seattle, Washington, USA. p. 93-102.
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

Applicants from the following disciplines are eligible to apply:

  • Computer Science
  • Information and Computing Technologies

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, Dr Quan Bai for further information.

Closing Date

31st May 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

Blockchain is a technology to store data securely and transparently using distributed and crypto techniques. It is a data storage of the future with security, immutability, and transparency built-in. With such an evolutionary feature set, blockchain has currently gained traction in its adoption ratio. However, the required momentum to take this technology to the future is still lagging due to the core limitation of its inability to interoperate between heterogeneous and multiple chains.

Considering this an opportunity, in this project, we will research to find the resolution to the blockchain interoperability challenge that enables arbitrary data sharing among heterogeneous and multiple blockchain networks.

The current block in the chain is highly specialized and designed to handle transaction-oriented records; consequently, limiting the possibility of flexibility and extensibility required to achieve an interoperable distributed data structure. Therefore, for general-purpose storage and sharing of arbitrary data, the block structure needs to be generalized with schema-based definitions to allow global data interpretation. Therefore, in this project, we will research on devising a markup-like meta-structure definition scheme to represent a generic data block structure within a blockchain network. Furthermore, a possible markup-translation algorithm that can facilitate arbitrary data exchange among multiple and heterogeneous blockchains.

Eligibility
  • Strong research and analytical skills
  • Research and/or Development background in the areas of Blockchain, software architecture and distributed systems
  • Understanding of distributed application Development pertaining to Blockchain
  • Publication record or relevant industry experience

Applicants from the following disciplines are eligible to apply:

  • Computer Science
  • Software Engineering
  • Information Technology
  • Computer Engineering

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, Muhammad Bilal Amin for further information.

Closing Date

2nd April 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 Australia, 320,000 tonnes of plastics waste were recycled in 2018 of which 46% were reprocessed in Australia and the rest exported. Options for continuing to export plastic waste are narrowing and consumers are increasingly demanding better management of plastic production, use, recycling and re-use to protect the environment and reduce pollution and carbon emissions. Reengineering supply chains is an integral part of improving plastic recycling in a circular economy but requires enhanced use of digital systems and use of geo-spatial data capture and data-mining tools and techniques. To-date limited studies provide evidence on the optimal way to re-design plastics supply chains or how best to mine aggregated geo-spatial data to reduce emissions and optimise re-cycling and re-use. Post-consumer plastic waste can be recycled up to six times, while heavily contaminated plastic waste impose high cost processing on existing logistics networks including special washing and drying.

This project will investigate how digitisation and use of GIS-based green supply chain management can be enhanced to address the existing challenges in Australia's plastics recycling supply chains. The aim will be to directly contribute practical models, tools and techniques to contribute to achieving a circular economy for plastics waste.

Eligibility
  • The project is open to domestic (Australian and New Zealand) and international candidates
  • The PhD will preferably 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

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, Paul Turner 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

In this project, HDR students implement and develop of state-of-the-art machine learning and deep learning models, especially in deep reinforcement learning 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 OpenAI Gym and Unity platform, which have 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 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

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

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, Dr Son Tran for further information.

Closing Date

31st May 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

Due to the advent of technologies such as 5G and IoT, the increase in network traffic has been exponential; consequently, presenting a larger set of opportunities for intrusion attacks on network traffic. Furthermore, the complexity and nature of these attacks can surely go undetected as they can easily be impersonated as normal behaviour (For example, DoS - Denial of Service attacks).

Due to high levels of work intensity and frequent turnovers, it is impractical for an organisation to leverage human intervention; especially, early-career engineers as the nature of this work requires higher understandings of hacking techniques.
In this project, we will conduct research that utilises Machine Learning to develop a model that can be applied to practice using payload detection in real-world Intrusion Detection (IDS) and Intrusion Prevention Systems (IPS). The targeted high detection rate of our model will significantly reduce the network payloads that need to be verified; consequently, overcoming human dependency.

Furthermore, we will devise a distributed methodology via Blockchain to detect not only network attacks but also intrusions based on abnormal behaviours that can be easily missed by an engineer. This methodology can be a novelty for Collaborative Intrusion Detection Systems (CIDS) to detect attacks such as Denial of Service (DoS) with high accuracy.

Eligibility
  • Strong research and analytical skills
  • Research and/or Development background in the areas of Blockchain, software architecture and distributed systems
  • Understanding of distributed application Development pertaining to Blockchain
  • Publication record or relevant industry experience

Applicants from the following disciplines are eligible to apply:

  • Computer Science
  • Software Engineering
  • Information Technology
  • Computer Engineering

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, Muhammad Bilal Amin for further information.

Closing Date

31st May 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 the past decade, blockchain has been one of the most revolutionary technologies that will have a far-reaching transformational effect across almost every industry in the coming years. A lot of organizations are examining its benefits for the sake of industries such as healthcare, law enforcement, asset management, forestry, agriculture, voting, and notarization. Given that every organization needs to share data, knowledge and assets; blockchains necessarily need to interoperate with each other.

Blockchain interoperability not only means the possibility to share and exchange, digital assets and arbitrary data but also to reference chain code across heterogeneous and multiple blockchain networks. However, the smart contract/chain code in a blockchain can be written in several different languages, thus, limiting the possibility of code reusability among blockchain networks.

In this project, we will conduct research to devise a chain code virtualization methodology for an interoperable blockchain ecosystem where the scale of execution of smart contracts is beyond a single block or a single chain deployment. Thus, enabling a new generation of distributed applications that can be built on the aggregation of smart contracts, written in different languages, like workflows and orchestrations

Eligibility
  • Strong research and analytical skills
  • Research and/or Development background in the areas of Blockchain, software architecture and distributed systems
  • Understanding of distributed application Development pertaining to Blockchain
  • Publication record or relevant industry experience

Applicants from the following disciplines are eligible to apply:

  • Computer Science
  • Software Engineering
  • Information Technology
  • Computer Engineering

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, Muhammad Bilal Amin for further information.

Closing Date

2nd April 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 the last decade, there is an increasing trend towards adaptation using "Industry 4.0" in the organizations by connecting digital technologies, automation and big data with industry processes, products and logistics. Yet, its application in wood supply chains has not been fully investigated. In the forest sector, limited information is available that could offer opportunities for value adding to traditional forest products (e.g.logs, veneers) from each stand. This is because the limited data collected is primarily done manually adn there remains limited data mining. Additionally, information sharing within and along wood supply chains (pre- and post-harvest) remains limited. Enhancing  digital data collection and analysis prior, during and post-harvest operations will enhance efficient information supply and open up new options for industry 4.0 innovation in ways to significantly change supply chain processes.

This project investigates the application of industry 4.0 in wood supply chains through implementation of an " internet of trees and services (IoTS)" and aims to explore technical and socio-economic challenges and opportunities

Eligibility
  • 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
  • Applicants must demonstrate experience and strong interest in Data Science, IoT and Blockchain

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, Paul Turner for further information.

Closing Date

2nd April 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

Agribusinesses including forestry remain an industrial pillar for Australia with 15%+ by value of Australia's total exports. However, it can be argued that sustainable production and consumption remains limited and that potentially valuable opportunities are being squandered while international competitors respond to customer demand for greater sustainability, traceability and carbon neutrality from business practices. Advanced techniques in generation and utilisation of digitalisation of the information within the supply chain provides opportunities to mitigate the adverse effects of the unsustainable consumption and production patterns. Industry 4.0 offers solutions to optimise the logistics networks and enhance both economic and environmental parameters in a circular economy are facilitating waste reduction, recycling and re-use. These solutions include Industrial Internet of Things (IoT), cloud computing (CC), Big data, Machine Learning, Human-Computer Interaction, Simulation, Augmented and Virtual Reality (AR/VR) and Cyber-security.

This project investigates the consequences of linking the industry 4.0 and Circular Economy in agribusiness for environmental and socio-economic benefit.

Eligibility
  • The project is open to domestic (Australian and New Zealand) and international candidates
  • The PhD will preferably 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

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, Paul Turner for further information.

Closing Date

14th May 2021

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

The Research Project

Understanding the genetic basis for changes in plant form and function during crop evolution is a major challenge in agriculture, and has multiple applications in fundamental plant biology, crop improvement, and the history of agriculture. Legumes are a large group of plants that include important global staple food crops such as pea, bean, soybean, lentil and chickpea. Several of these are also major export crops for Australian agriculture. However, legumes are in general much less well studied and understood than their more prominent counterpart cereal crops, such as wheat, rice and maize.

This project will investigate the genetic control of key domestication and adaptation traits in one or more legume species. It comprises (i) genetic analyses (ii) the isolation of genes contributing to domestication and/or adaptation (iii) molecular and physiological studies, and (iv) characterization of genetic diversity. It aims to apply recent improvements in sequence resources and global germplasm collections and aligns with externally-funded research projects and international collaborations.

The project is expected to result in fundamental advances in the understanding of the molecular basis for crop domestication and adaptation in plants, insight into the molecular evolution of these traits, and the development of tools and insights useful for breeding.

Eligibility
  • A first class Honours or MSc degree in a relevant discipline such as plant science
  • Demonstrated knowledge and research experience in areas including but not limited to molecular biology, genetics, and plant physiology
  • Proven record of strong written and verbal communication skills
  • A high level of motivation and attention to detail

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, A/Prof Jim Weller for further information.

Closing Date

14th May 2021

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

The Research Project

Phenology, or the timing of developmental changes during the growth cycle, is the single most important trait for crop adaptation. Large yield losses typically occur when critical periods for grain set and filling coincide with environmental stresses, chiefly drought and extreme temperatures in Australia. Photoperiod and temperature are the main drivers of phenology but recent evidence indicates that soil water content can also modulate phenological development in grain legume (pulse) crops. For example, both faba bean and chickpea show genotype-dependent effects of soil water content on flowering, and accounting for these can improve prediction and modelling.

This project sits under the umbrella of a $4.75M GRDC-funded national pulse phenology project and will explore the physiological mechanisms that underlie these effects. Specifically, it aims to:

  1. Quantify the effects of water on reproductive phenology in chickpea and lentil
  2. Quantify interactions between water, photoperiod, temperature and genotype
  3. Explore the physiological and genetic basis for effects of water on pulse phenology

The candidate will gain skills in field and laboratory phenotyping, crop physiology and genetics under the supervision of Victor Sadras (SARDI, University of Adelaide) and Jim Weller (UTas). The position will be physically based at the Waite Campus in Adelaide.

Eligibility
  • A first class Honours or MSc degree in a relevant discipline such as plant science
  • Applied knowledge in areas including but not limited to plant phenology, morphology, development and  stress relations
  • Strong background in data analysis and interpretation and proven record of written and verbal communication skills
  • A capacity for regular field work outdoors and in remote locations
  • A  current driver's license
  • Working experience with lentil and/or chickpea, plant phenotyping and computing software will be viewed favourably

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, A/Prof Jim Weller for further information.

Closing Date

14th May 2021

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

The Research Project

Lentil (Lens culinaris) is an important grain legume crop and staple food throughout western Asia, northern Africa and the Indian subcontinent, and a significant export crop for Australia.  The environmental control of phenology (the timing of flowering and related developmental changes) is a key factor underlying adaptation of lentil to different latitudinal, seasonal and climatic environments. Although the genetic basis for flowering time is increasingly well understood in many crops, including legumes, little is known about the genes and genetic loci that influence it in lentil.

This project sits within a large GRDC-funded national pulse phenology program based at UTas, which aims to define the genetic basis for phenology adaptation across current and potential future Australian growing regions.  The project will contribute to the genetic dissection and physiological characterization of flowering time control in lentil, through glasshouse, molecular and computational analyses.  It will involve close collaboration with the lentil genomics and breeding program at the University of Saskatchewan in Canada, and interaction with the Australian pulse breeding and research community. The project is expected to result in fundamental advances in our understanding of an important crop trait, and the development of tools and insights useful for breeding.

Eligibility
  • A first class Honours or MSc degree in a relevant discipline such as plant science
  • Demonstrated knowledge and research experience in areas including but not limited to molecular biology, genetics, and plant physiology
  • Proven record of strong written and verbal communication skills
  • A high level of motivation and attention to detail

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, A/Prof Jim Weller for further information.

Closing Date

30th June 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

Novel separation technologies and materials will be developed to contribute to filling the methodological gap for the measurement and understanding of the behaviour of nanoplastics in the environment.

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, Fernando Maya Alejandro for further information.

Closing Date

14th May 2021

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 developing a novel synthetic methodology for the synthesis of nitrogen containing complex molecules.  The method will utilise heterocycles as templates by exploiting their reactivity to build up chemical complexity.  This protocol would permit the efficient access to numerous compounds from a common intermediate, an approach that is desirable in any synthesis, but particularly for producing chemical libraries as required for drug discovery.  Targets include the stemona alkaloids stenine, stemoamide and croomine which posses complex molecular architecture and proposed as the active agents in many traditional medicines.

Eligibility
  • Honours or Masters degree in Synthetic Organic Chemistry

Applicants from the following disciplines are eligible to apply:

  • Synthetic Organic Chemistry

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, A/Prof Jason Smith for further information.

Closing Date

Expression of Interest: 12th February 2021

Full Application: 5th March 2021

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

Funding

There is a living allowance scholarship of $28,597pa (2021 rate, indexed annually) for this project for 3.5 years with no extension, that will be considered for an outstanding applicant.

The Research Project

The project will develop new materials based on an under-explored class of weak interactions known as halogen bonds. These interactions will be used to assemble large molecules in solution, probe the presence of pollutants in water, and to develop catalytic systems for organic reactions.

The project will involve collaborative research with groups in the fields of computational chemistry. Successful candidates will make use of modern synthetic chemistry, analytical techniques (including NMR, MS and IR), and examination of the target molecule properties by chromatographic, stereochemical and crystallographic techniques.

Eligibility
  • The scholarship is open to Australian (domestic) candidates and to International candidates and must be undertaken on a full-time basis

Applicants from the following disciplines are eligible to apply:

  • A background in synthetic inorganic or organic chemistry
  • Computation chemistry experience is desirable

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

Scholarship Assessment Criteria
  • Demonstrated research experience
  • An interest in supramolecular chemistry
  • High intrinsic motivation to complete a PhD
  • Evidence of self directed learning/research
  • The 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, Dr Nathan Kilah 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

30th May 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

Application of nanomaterials (NPs) in SPME, in combination with 3DP technology for fabrication of integrated lab-on-chip (LOC) devices, are going to create a new revolution in chemical analysis. An important class of highly porous NPs is metal-organic frameworks (MOFs) and covalent organic frameworks (COFs), which have attracted a lot of interest, due to their unique capabilities, like thermal stability, large surface area, and highly regular and permanent porosity.

This project aims to develop a microfluidic-based SPME chip, using MOF composites, for sample clean up. It will be directly couple with electrospray ionization-mass spectrometry (ESI-MS) for subsequent analysis. It will be very beneficial for proteomic analysis.

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 with chemistry backgrounds are encouraged to apply. Knowledge and skills that will be ranked highly include: Analytical Chemistry, Nanochemistry

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, Alireza Ghiasvand for further information.

Closing Date

30th May 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

SPME is a promising solvent-free sample preparation method that can merge extraction, preconcentration, and derivatization into a single step and therefore is suitable for monitoring PCFs. However, because of the complexity of the environmental samples, the SPME sorbent must be selective to compensate for the matrix effect.

Accordingly, this project aims to synthesize novel classes of micro-sorbents for selective and more efficient extraction of PFCAs and PFSAs in soil and water samples. They will be coated on fused-silica or metallic fibres and used for SPME applications for trapping of volatile or derivatized PCFs. To achieve reliable and feasible analytical strategies, optimization of the extraction process will be performed using multivariate statistical analysis and experimental designs, which are broadly employed to search and optimize the efficiency of affective variables to enhance performance and minimize the error of experiments in different research areas.

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 with chemistry backgrounds are encouraged to apply. Knowledge and skills that will be ranked highly include: Analytical Chemistry, Nanochemistry

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, Alireza Ghiasvand 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.

No results were found

No results were found

Closing Date

14th September 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

Matrix-analytic methods (MAMs) is an area of applied probability pioneered by Professor Marcel Neuts, who has transformed the theory with an idea that, rather than developing mathematical structures that have little use for practical applications, the focus should be on constructing models and methods of analysis that can be applied efficiently, using fast algorithms and computers. Since then, many useful models and algorithms, and numerous efficient methods for applications in a wide range of real-world problems  have been developed by researchers in this area.

In this project you will focus on novel stochastic models in order to capture more complex behaviours than it was possible before, and develop algorithms for efficient analysis of stochastic processes useful for practical applications. You will have an opportunity to engage in international collaborations with  prominent researchers in the area of matrix-analytic methods.

Eligibility
  • Strong research and analytical skills in mathematics
  • Knowledge and skills in applied probability
  • Knowledge and skills in coding

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, A/Prof Malgorzata O'Reilly for further information.

Closing Date

14th September 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

An urgent need to improve hospital patient flow is a major challenge facing the managers of the healthcare systems. Critically, clinical evidence confirms that delays in treatment in hospitals lead to poorer patient outcomes and higher inpatient mortality. Poor patient flow directly contributes to: Emergency Department (ED) crowding, bed access-block, increased length of stay (LoS) and delayed discharge, and all pose risks to patient safety.

In this project you will focus on developing mathematical models and algorithms for a practical application in daily decision making in a random environment. You will engage with a multi-disciplinary team (Mathematics, Computing, Medicine, Department of Health) whose aim is to develop a suite of innovative models and a novel prototype tool for optimising patient flow.

Eligibility
  • Strong research and analytical skills in mathematics
  • Knowledge and skills in applied probability, probabilistic operations research, statistics or related area
  • Knowledge and skills in simulation and coding

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, A/Prof Malgorzata O'Reilly for further information.

No results were found

Closing Date

14th May 2021

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

The Research Project

A single major gene controls Al tolerance in barley. It was located on chromosome 4H. Gene specific markers have been developed and tested in a large number of germplasms. In our preliminary screening of an F2 population, we have identified a few acid soil tolerant lines that did not show tolerance alleles. Further mapping will be conducted to identify the potential new QTL and tolerance mechanism, including physiological studies which will assist the search of candidate genes. Both the known gene (HvMATE) and the new QTL will be introgressed to a commercial variety to study the effectiveness of the genes and potential effect of the gene/QTL on grain yield and quality.

Eligibility

Applicants from the following disciplines are eligible to apply:

  • Agricultural 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, Prof Meixue Zhou for further information.

Closing Date

14th May 2021

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

The Research Project

With 1.5 million cows in the Australian dairy herd there are potentially 750,000 male dairy calves produced as a by-product of the dairy industry every year, in addition to 560,000 surplus female calves above that required to replace the cows that are leaving the herd. In Tasmania, 68,731 of these "Non-Replacement Dairy Calves" (NRDCs) are born each year. Australia is one of few countries in the world where the slaughter of NRDCs at a young age for low value veal is more profitable than growing them out for beef production. This practice represents a persisting welfare concern and a major threat to the social licence to operate of the Australian dairy industry.

The low monetary value of NRDCs may be failing to incentivise their rearing for the Australian beef market. Inseminating dairy cows with beef semen is one promising strategy to maximise the value of NRDC being produced, but could increase the incidence of calving difficulty in dairy females. Part 1 of this PhD project will assess decision-making processes of dairy farmers in terms of sire selection in cross-breeding dairy reproduction programs, and the impact of these decisions on dystocia or perinatal calf mortalities. The second part of this PhD project will explore (1) attitudes to current and alternative management options for NRDC and (2) barriers faced to the adoption of increased NRDC utilisation.

Eligibility
  • Applicants will need an Australian driver's license
  • The applicant will be based at the Cradle Coast Campus
  • Applicants with excellent communication and interpersonal skills are preferred

Applicants from the following disciplines are eligible to apply:

  • Animal welfare or behaviour
  • Dairy production
  • Social 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, Dr Megan Verdon for further information.

Closing Date

2nd April 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

Pyrethrum is an important part of cropping production in Tasmania, being grown for the natural insecticides pyrethrins.  Diseases of pyrethrum are a major constraint on production in Tasmania caused by a complex of fungal pathogens.  Management of these diseases requires the use of multiple applications of chemical fungicides each year.  However, this exposes the industry to the risk of resistance building up within the pathogen population, reducing the efficacy of control leading to undesirable impacts on the economics and environmental sustainability of pyrethrum production.

This project will focus on understanding the risk of fungicide resistance in key fungal pathogens of pyrethrum.  Potential studies include looking into the genetic mechanisms that govern resistance, assessing the current extent of resistance present in field populations and evaluating the risk of resistance developing in the future.  Answering questions associated with these issues will help the pyrethrum industry better manage fungicide usage into the future.  As such, the project aims to produce impactful outcomes for Tasmanian agriculture.

In conducting this project, the candidate will be supported by, and collaborate with, Botanical Resources Australia, the commercial operator of the Australian pyrethrum industry.  The project will involve a combination of field-, glasshouse- and laboratory-based experimentation.  The project will be based at the Cradle Coast Campus of UTAS.

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:

  • Plant pathology
  • Mycology
  • Molecular biology
  • Botany
  • Agronomy
  • Horticulture

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, Jason Scott for further information.

Closing Date

14th May 2021

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

The Research Project

Meat and Livestock Australia has commissioned the University of Tasmania to conduct a research project to understand potential mechanisms of vacuum-packed (VP), chilled lamb with a view to enabling development of a novel intervention for shelf-life extension.

Meat spoilage is a complex process caused by a variety of chemical, enzymatic and microbiological activity, resulting in undesirable sensory changes that demarcate end of shelf life. The main process that drives meat spoilage is microbial growth and metabolism, owing to meats high abundance of readily available nutrients. Through our previous MLA-funded projects, we identified a number of organisms within the spoilage community of VP lamb and investigated their spoilage potential. It was found that Clostridium spp. were amongst the organisms that had the highest spoilage potential. While these results significantly advance our understanding of microbial spoilage of VP lamb, it is still very important to understand how Clostridium spp. and other spoilage organisms cause spoilage. Such knowledge will aid development of a more target approach for Australian red meat industry to extend the shelf life of VP lamb.

This PhD study will focus on understanding of lamb metabolome, and how this changes as the spoilage microbial community is developed over the course of storage. A successful applicant will work closely with highly experienced researchers, one experienced post-doctoral fellow and industry partners.

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

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, Dr Chawalit Kocharunchitt for further information.

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