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

RMIT University, Australia

Updated: about 4 hours ago
Location: Melbourne, VICTORIA

Industry-based HDR projects open for Domestic Students in Australia (Citizens and Permanent Residents) at RMIT University in collaboration with Praetorian Aeronautics. The scholarships are supported by CSIRO Next Generation Graduate Program.



Industry-based HDR projects open for Domestic Students in Australia (Citizens and Permanent Residents) at RMIT University in collaboration with Praetorian Aeronautics. The scholarships are supported by CSIRO Next Generation Graduate Program.



$52,500



$52,500



Open now



Open now



30/06/2025



30/06/2025



1 (one)



1 (one)



This scholarship is for DOMESTIC students only. Domestic students are Australian citizens, Australian permanent residents, holders of a permanent humanitarian visa, or New Zealand citizens.

This scholarship is not open to international students - international students are applicants who do not hold Australian or New Zealand citizenship or permanent residency. They typically hold a temporary visa, such as a student visa."



This scholarship is for DOMESTIC students only. Domestic students are Australian citizens, Australian permanent residents, holders of a permanent humanitarian visa, or New Zealand citizens.

This scholarship is not open to international students - international students are applicants who do not hold Australian or New Zealand citizenship or permanent residency. They typically hold a temporary visa, such as a student visa."



Please email your CV to akram.hourani@rmit.edu.au



Please email your CV to akram.hourani@rmit.edu.au



Required skills:

  • Programming and simulation: strong experience in Python or MATLAB.
  • Mathematical modelling: probability, optimization, or multi-agent interactions.
  • Machine learning: reinforcement learning, or multi-agent systems.
  • Signal processing: spectrum sensing, localization, or radio environment modelling.
  • Optimization and control: algorithm development for decision-making under constraints.


    • Required skills:

  • Programming and simulation: strong experience in Python or MATLAB.
  • Mathematical modelling: probability, optimization, or multi-agent interactions.
  • Machine learning: reinforcement learning, or multi-agent systems.
  • Signal processing: spectrum sensing, localization, or radio environment modelling.
  • Optimization and control: algorithm development for decision-making under constraints.

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