Industry-based HDR project open for Domestic Students in Australia (Citizens and Permanent Residents) at RMIT University in collaboration with Consunet Pty Ltd. The scholarship is supported by the CSIRO Next Generation Graduate Program.
Industry-based HDR project open for Domestic Students in Australia (Citizens and Permanent Residents) at RMIT University in collaboration with Consunet Pty Ltd. The scholarship is supported by the 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 send your CV to akram.hourani@rmit.edu.au
Please send 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.
- Multi-agent systems: distributed intelligence, communication-limited cooperation, or swarm behavior.
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.
- Multi-agent systems: distributed intelligence, communication-limited cooperation, or swarm behavior.
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