Published: 17 Oct 2025 50 views
The goal of the project is to implement an adversarial reinforcement learning (ARL) model to optimise the performance of a defensive suite of sensor and effectors implemented to counter a drone threat. A simulation model will be developed to reflect the defensive reinforcement learning (RL) agents i.e. the suite of sensors and effector defending against a drone attack and the offensive RL agents i.e. the swarm of attacking drones.
This project is open to applications from Australian or New Zealand citizens and Australian permanent residents. International applicants are not invited to apply at this time.
Applicants must meet the eligibility criteria for entrance into a PhD. Additionally, applicants must meet the project selection criteria:
All applications that meet the eligibility and selection criteria will be considered for this project. A merit selection process will be used to determine the successful candidate.
The successful applicant is expected to study full-time and to be based at our Mawson Lakes campus in the north of Adelaide.
For more information, kindly visit University of South Australia scholarship webpage.
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