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2025 Developing Adversarial Reinforcement Learning Systems for Swarm Defense Scholarship at UniSA

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.

Table of Content

Summary

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Benefits

  • This project is funded for reasonable research expenses. Additionally, a living allowance scholarship of $41,650 per annum is available to Australian or New Zealand citizens and Australian permanent residents. Australian Aboriginal and/or Torres Strait Islander applicants will be eligible to receive an increased stipend rate of $50,291 per annum (2024 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.

Requirements

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: 

  • Background or interest in Artificial Intelligence, Machine Learning, Reinforcement Learning and/or Visualisation

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.

Application Deadline

October 24, 2025

How To Apply

For more information, kindly visit University of South Australia scholarship webpage.

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