PhD Scholarship: Machine Learning for Non-Terrestrial Networks

at University of Warwick
Published February 15, 2023
Location Coventry, United Kingdom
Category Machine Learning  
Job Type Scholarship  


Start date: 03 April 2023

Duration: 3.5 years

The project

Applications are invited to apply for one full 3-year PhD Studentship in intelligent Non-Terrestrial Networks. Non-Terrestrial Networks will be integrated into future 6G networks and will provide the key solution for improving mobile network coverage and supporting massive machine-type communications. The project will include theoretical and applied research in the Connected Systems Group at the University of Warwick, UK.

Eligibility: UK candidates with a first-class or 2.1 honours degree at BSc or MSc in Electrical Engineering, Computer Science or Telecommunications Engineering. Knowledge of machine learning and mathematical optimisation techniques is welcome. Good programming skills and experience in Matlab and Python programming are essential.

Familiarity with wireless communications, MIMO, reconfigurable intelligent surfaces, and convex optimization would be an advantage. Candidates have a strong publication record and extensive experience publishing research findings in international journals and conference proceedings.

Funding: The studentship covers 100% fees (UK students only; worth approximately £4,600) and a tax-free maintenance stipend in line with UKRI rates of approximately £17,668 per annum.

How to apply:

Applicants should send a cover letter outlining motivation and suitability for this project, and a full CV to 

If you are successful at the interview, you will be required to fulfil the entry requirements set by the University of Warwick. As soon as you have a University ID number, you will be invited to upload your degree certificate, transcripts, and a personal statement that explains your specific research interests and why you should be considered for this award.

The University of Warwick provides an inclusive working and learning environment, recognising and respecting every individual’s differences. We welcome applications from individuals who identify with any of the protected characteristics defined by the Equality Act 2010.