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

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

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.

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$52,500

Open now

30/06/2025

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."

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

Required skills:

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

RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Sentient' by Hollie Johnson, Gunaikurnai and Monero Ngarigo.

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