FIXED TERM POSITION FOR 2 YEARS WITH THE POSSIBILITY OF EXTENSION AS THE PROJECT ADVANCES AND FULL-TIME EMPLOYMENT WITH INDUSTRY PARTNER.

We are seeking a motivated individual to work on an exciting Trailblazer Project in multi-agent decision making in contested and dynamic environments, involving extensively applied work at the intersection of decision making and machine learning, with real-world testing and feedback. The successful applicant will work on ideas in decision making supported by multi-agent reinforcement learning and other related approaches, as applied to distributed protection, under the direction of A/Prof Claudia Szabo in the School of Computer and Mathematical Sciences at the University of Adelaide. The applicant will work with our partners Praetorian Aeronautics and their testing team to field test emerging AI agent-based technology and push forward projects of national significance. The applicant will learn first-hand about the current state of drone combat and will have a meaningful impact on the future direction of protection mechanisms from hostile drones. The applicant will work with other researchers and engineers in A/Prof Szabo’s team who share broad goals in decision making in contested and dynamic environments, multi-agent reinforcement learning, and secure and robust machine learning solutions.
The ideal candidate will enjoy working in a team with a hands-on approach to experimentation allied to strong theoretical underpinnings. A relevant first degree in computer science, engineering or related discipline is essential. The candidate will have a PhD in Computer Science or Machine Learning (or be able to demonstrate equivalent research experience) and possess a deep and demonstrable knowledge of these fields. They must be a strong team player, and be able to communicate and work with the investigators and industrial partners. They will have a track record of publications in those fields commensurate with experience and opportunity. They will ideally have some experience of using open-source RL packages and a track record of delivery on project-based work.

The Faculty of Sciences, Engineering and Technology is a multidisciplinary hub of cutting-edge teaching and research. Many of its academic staff are world leaders in their fields and graduates are highly regarded by employers. The Faculty actively partners with innovative industries to solve problems of global significance.
Learn more at: set.adelaide.edu.au