PhD Studentship: Machine Learning Techniques for Wireless Networks - Reference: SAM21/08 at Loughborough University on FindAPhD.com

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Prof S Lambotharan, Dr G Zheng No more applications being accepted Competition Funded PhD Project (Students Worldwide)

Loughborough United Kingdom Communications Engineering Electrical Engineering

About the Project

Start date of studentship: 01 Oct 2021

Loughborough University is a top-ten rated university in England for research intensity (REF2014). In choosing Loughborough for your research, you’ll work alongside academics who are leaders in their field. You will benefit from comprehensive support and guidance from our Doctoral College, including tailored careers advice, to help you succeed in your research and future career.

Find out more: http://www.lboro.ac.uk/study/postgraduate/supporting-you/research/

Machine learning has been emerging as a powerful tool for optimising wireless networks. The traditional methods for the design of wireless networks may not provide optimal solutions due to highly non-linear optimizations and may be of high complexity, hence power consuming. The machine learning and deep learning techniques have the potential to optimise end to end performance of wireless networks such as the throughput and latency. The aim of this project to develop various machine learning techniques including deep learning, reinforcement learning and adversarial learning for the design of future generations of wireless networks including 6G networks. The PhD student will benefit from the extensive expertise of the project team in signal processing and machine learning with a strong track record of publishing in top tier international journals.

Find out more:

https://www.lboro.ac.uk/departments/meme/research/research-groups/signal-processing-networks/

How to apply:

All applications should be made online at http://www.lboro.ac.uk/study/apply/research/. Under programme name, select ‘Electronic, Electrical & Systems Engineering’. Please quote reference number: SAM21/08.

Funding Notes

Please note that studentships will be awarded on a competitive basis to applicants who have applied to this project and other advertised projects starting with advert reference ‘SAM21’ for the School of Mechanical, Electrical and Manufacturing Engineering.
If awarded, each 3-year studentship will provide a minimum tax-free stipend of £15,285 per annum, plus tuition fees at the UK rate (minimum £4,407). Exact values are still to be confirmed. International (including EU) students may apply however the total value of the studentship will cover the International Tuition Fee only and no stipend will be available.

Where will I study?

Loughborough University

Our outstanding research is generating globally important work that is driven by society’s need for solutions to real-life issues, making it not only cutting-edge, but relevant too - ultimately, helping to improve the quality of people’s lives. You could be a part of this.

We’ve won a FindAMasters and FindAPhD Postgrad Award!

As a previous winner of a Postgrad Award, our university community has been recognised for their excellence in, and dedication to, postgraduate education. Studying with us means you’ll be part of a supportive environment that has been celebrated for its achievements and positive impact on our postgraduate students.

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