Research Position in Multi-Agent Decision Making
Job Overview: We are seeking a highly motivated researcher to work on an exciting project in multi-agent decision making. The successful candidate will be involved in extensively applied work at the intersection of decision making and machine learning, with real-world testing and feedback.
As a researcher in our team, you will work on ideas in decision making supported by multi-agent reinforcement learning and other related approaches, as applied to distributed protection. You will also have the opportunity to learn first-hand about the current state of drone combat and contribute to the development of protection mechanisms from hostile drones.
To succeed in this role, you will need to demonstrate expertise and experience in reinforcement learning and other machine learning techniques used for decision making. Additionally, you should have expertise and experience in computer programming, especially in Python and C++.
We welcome applications from candidates who are Australian citizens or Australian Permanent Residents. A commitment to equity, diversity, and inclusion is essential, and we encourage applicants who can contribute to the diversity of our School community.
* Have or be about to complete a PhD (or equivalent qualification) or have equivalent industrial experience in computer science or (applied) machine learning, decision making, and other closely related area.
* Publication record commensurate with experience and opportunity.
* Demonstrated ability to work collaboratively and contribute to a dynamic research environment.