Pdoc Res Fellow (A) (with PhD)

Job Description

(Level A) $78,544.00 -$105,611.00 salary scale per annum plus an employer contribution of 17% superannuation applies. Fixed term position December 2026 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. 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 expertise and experience in reinforcement learning and other machine learning techniques used for decision making. Expertise and experience in computer programming, especially in Python and C++. Be an Australian citizen or Australian Permanent Resident. Commitment to the principles of equity, diversity and inclusion, and ability to contribute to the diversity of the School community. Applications close 11:55pm, Monday 17 February 2025. The University reserves the right to close this advertisement before the closing date if a suitable candidate is identified. For further information For a confidential discussion regarding this position, contact: Claudia SzaboAssociate Professor, School of Computer and Mathematical SciencesP: +61 (8) 831 36744E: We are an Equal Employment Opportunity employer committed to providing a working environment that embraces and values diversity and inclusion. Female applicants, people with a disability and/or Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply. If you have any support or access requirements, we encourage you to advise us at the time of application. #J-18808-Ljbffr