Engineering, IT, Mathematics and Statistics
- This internship is able to cover project costs for domestic students only.
- The Industry Partner has implemented appropriate preparations to comply with Federal and State Government requirements regarding COVID-19 safety. Due to remote arrangements, this internship is now accepting applications from eligible PhD students nationwide.
Consunet Pty Ltd delivers Information Technology consulting, software engineering and related services to the Australian Defence industry, Government organisations and commercial enterprise customers.
The electromagnetic spectrum (https://en.wikipedia.org/wiki/Electromagnetic_spectrum), spectrum from here on in, is a common resource. Spectrum utilisation, in parts, peaks and troughs throughout the day on a continuous basis. Spectrum prediction is a complex problem due to the interplay of physics, signal power, receiver locations and other characteristics. The research problem is two-fold. 1) perform future spectrum usage/occupancy predictions for locations that there is no known receiver, and 2) identify receiver configurations that would reduce the error of predictions.
RESEARCH TO BE CONDUCTED
The successful applicant would join a Consunet Research Team currently undertaking Spectrum Prediction R&D. The project would be under the direction of a Consunet applied scientist (Machine Learning) to:
- understand the Spectrum Prediction Problem
- understand the current methods under investigation and their evaluation
- create novel techniques to predict spectrum for the missing receiver problem
- characterise the receiver placement problem
- investigate and develop a framework and algorithms for receiver placement, and
- evaluate performance.
SKILLS AND QUALIFICATIONS REQUIRED
We are looking for a PhD student with the following:
- Data Science
- Computer Science
To be negotiated with the successful candidate and academic mentor.
The intern will receive $3,000 per month of the internship, usually in the form of stipend payments.
It is expected that the intern will primarily undertake this research project during regular business hours and maintain contact with their academic mentor throughout the internship either through face-to-face or phone meetings as appropriate.
The intern and their academic mentor will have the opportunity to negotiate the project’s scope, milestones and timeline during the project planning stage.
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