Scholarship

Machine Learning Methods for Autonomous Search of Radio Frequency Emitters Using a Swarm of UAVs (Master by Research)

RMIT University
Award AUD 52.5K–52.5K ≈ €31.5K
Closing date Closed
Location AU, NZ
For Individuals

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.
24 - 25 mo
1 award

Who can apply

Applicant Types

individual

Organization Types

academic

Citizenship

🇦🇺 Australia 🇳🇿 New Zealand

Residency

🇦🇺 Australia

Project Locations

🇦🇺 Australia

Region

Australia

How to apply

Stages

  1. 1 single_stage

Required documents

cv

Additional benefits

  • training

Restrictions

  • geographic_restrictions