Machine Learning Methods for Autonomous Search of Radio Frequency Emitters Using a Swarm of UAVs (Master by Research)
A$52,500 - A$52,500
Jun 30, 2025
Australia
individual
About This Opportunity
This is a Master by Research scholarship opportunity offered in collaboration with Praetorian Aeronautics and supported by the CSIRO Next Generation Graduate Program. The research project focuses on developing machine learning methods for autonomous search of radio frequency emitters using unmanned aerial vehicle (UAV) swarms. The scholarship provides an industry-based higher degree research project that combines advanced machine learning techniques, multi-agent systems, and signal processing to address real-world challenges in autonomous RF emitter detection and localization. The research will involve programming and simulation, mathematical modelling, reinforcement learning applications, spectrum sensing and localization, and optimization and control algorithms for decision-making under constraints. This opportunity is specifically designed for domestic students to work on cutting-edge technology at the intersection of aerospace, machine learning, and electromagnetic systems.
Who Can Apply
- Region
- Australia
- Citizenship
- Australia, New Zealand
- Residency
- Australia
- Project in
- Australia
- Applicants
- individual
- Organizations
- academic
Application Details
Stages
- 1 single_stage
Required documents
Additional benefits
- training
Restrictions
- geographic_restrictions
External Application
This opportunity requires you to apply directly on the funder's website.
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- Award Amount
- A$52,500 - A$52,500
- Application Deadline
-
June 30, 2025 at 23:59 UTCDeadline passed
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