6 March 2023
About the research project
Currently we are moving to internet of everything (IoE) from internet of things (IoT )where every device can be a sensing and computing device. In such environment, new type of services can be supported which will make smart city and smart region a reality. For example, in context of cities, by using crowd based services, we can find in fast manner the parking spots and we can identify pathway for ambulance in high traffic times. Crowd can give very timely and reliable source for information and computation to support such applications if integrated with effective trust and resource management approaches and tools. There are several research challenges that needs to be solved such as integration of multiple data sources, volatile and unpredictable availability of crowd based resources and untrustful crowd peers and network that need to be solved in order to support crowd based services. This PhD project will investigate solutions to tackle these challenges.
Primary SupervisorMeet Dr Saurabh Garg
Applicants will be considered for a Research Training Program (RTP) scholarship or Tasmania Graduate Research Scholarship (TGRS) which, if successful, provides:
- a living allowance stipend of $28,854 per annum (2022 rate, indexed annually) for 2 years (MRes) or 3.5 years (PhD)
- a relocation allowance of up to $2,000
- a tuition fees offset covering the cost of tuition fees for up to 2 years (MRes) or 4 years (PhD) (domestic applicants only)
If successful, international applicants will receive a University of Tasmania Fees Offset for up to 2 years (MRes) or 4 years (PhD)
As part of the application process you may indicate if you do not wish to be considered for scholarship funding.
Applicants should review the Higher Degree by Research minimum entry requirements.
Additional eligibility criteria specific to this project/scholarship:
- Applications are open to Domestic/ International/ Onshore applicants.
- It is recommended that applicants have either of the following capabilities:
- Good programming skills,
- Knowledge of AI methodologies
- Knowledge of Distributed systems such as IoT, Cloud etc
The project is competitively assessed and awarded. Selection is based on academic merit and suitability to the project as determined by the College.
There is a three-step application process:
- Select your project, and check you meet the eligibility and selection criteria;
- Contact the Primary Supervisor, Dr Saurabh Garg to discuss your suitability and the project's requirements; and
- Submit an application by the closing date listed above.
- Copy and paste the title of the project from this advertisement into your application. If you don’t correctly do this your application may be rejected.
- As part of your application, you will be required to submit a covering letter, a CV including 2 x referees and your project research proposal.
Following the application closing date applications will be assessed within the College. Applicants should expect to receive notification of the outcome by email by the advertised outcome date.