Project Information
Applications Close
19 May 2024
Study Level
PhD
Applications Open To
Domestic Candidate or International Candidate
All domestic students are eligible for a fee waiver. International students who receive a stipend are eligible for a fee waiver. Find out more about fees and conditions.
Project Stipend:
$32,500 p.a. (2024 rates) available to domestic and international applicants
In this project-based research degree, you will have the opportunity to explore distributed multi-agent reinforcement learning (DMARL) as a key area of artificial intelligence (AI) research to address cutting edge problems in dynamic resource allocation optimisation.
As part of an emerging topic in an autonomous system, it is vital to investigate mutual benefits to the users and providers of services and resources, develop a distributed resource allocation optimisation method based on multi-agent reinforcement learning, as well as a dynamic resource reallocation feedback.
What you’ll do
You will develop an autonomous system for dynamic resource allocation optimisation based on DMARL with a case study of satellite constellations. You will deliver computer programs and validate outputs based on deep learning/machine learning packages such as Pytorch and TensorFlow as well as publish high quality papers, and participate in appropriate AI applications for end users.
This project provides opportunities to attend international conferences to present your outputs and achievement as well as exchanges to other research institutes for short visits.
You will have access to world class hardware and software resources for high performance computing.
Where you’ll be based
You will be based in UniSA’s Industrial AI Research Centre (IAI) at our Mawson Lakes campus. IAI brings together experts from across computer sciences to develop solutions for autonomous and augmented intelligence systems. We are a part of the global revolution in artificial intelligence, machine learning, Industry 4.0 and Internet-of-Things (IoT) technologies.
Our researchers work with organisations around the world to develop solutions that cater to their specific needs. We have worked with Siemens, BP Australia, Yokogawa Electric and more, growing these partnerships over time to continually design sophisticated AI-driven solutions.
The Industrial AI Research Centre has the skills and knowledge to meet demand and lead the next technological revolution.
Supervisory team
This project is funded for reasonable research expenses. Additionally, a living allowance scholarship of $32,500 per annum is available to eligible applicants. Australian Aboriginal and/or Torres Strait Islander applicants will be eligible to receive an increased stipend rate of $46,653 per annum (2023 rates). A fee-offset or waiver for the standard term of the program is also included. For full terms and benefits of the scholarship please refer to our scholarship information for domestic students or international students.
Eligibility and Selection
This project is open to applications from both domestic and international applicants. Applicants must meet the eligibility criteria for entrance into a PhD.
Additionally applicants must meet the projects selection criteria:
- Extensive knowledge in deep reinforcement learning, multi-agent systems and distributed computing
- Strong programming skills in Python, Java, C# and rich experience in TensorFlow and PyTOUGH
- Publication records in top-tier journals or conferences (e.g. IEEE TPAMI, TNNLS, TFS, TKDE, AAMAS, IJCAI, or AAAI)
The successful applicant is expected to study full-time and to be based at our Mawson Lakes campus in the north of Adelaide.
Essential Dates
Applicants are expected to start in a timely fashion upon receipt of an offer. Extended deferral periods are not available. Applications close on Sunday 19 May 2024.
How to apply:
Applications must be lodged online, please note UniSA does not accept applications via email.
For further support see our step-by-step guide on how to apply , or contact the Graduate Research team on +61 8 8302 5880, option 1 or email us at research.admissions@unisa.edu.au. You will receive a response within one working day.
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