Machine Learning for Next Generation 5G Networks PhD Studentship

Programme description

The University of Hertfordshire invites applications for a three-year, full-time PhD studentship available from May 2020, within the Cognitive Networks Lab of the Communications and Intelligent Systems Research Group at the University of Hertfordshire.

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We welcome the opportunity to support one PhD in research towards Machine Learning (ML) for next-generation networks (5G/6G). The Cognitive Networks Lab has a track record of successful research in the area of Communication Networks, Software Defined Networks, Massive MIMO Systems, Heterogeneous Networks, Caching, Machine Learning and Information Theory.

Machine learning (ML) is expected to become ubiquitous in next -generation networks, at all levels of design and operation, from digital coding, equalisation and impairment mitigation, through to monitoring, fault prediction and identification, and signal restoration, traffic pattern prediction and resource planning. ML tools must be tailored to the unique features of the wireless (potentially optical and satellite) environment and result in self-organising and self-optimising solutions. Such ML-driven solutions would be integrated across both the edge and core of the network providing centralised and distributed optimisation. The successful PhD candidate will therefore focus on providing a holistic approach towards the synergy and breakthrough implementation of ML to communication networks.

Informal enquires can be made to Dr Pandelis Kourtessis, Director of the Centre for Engineering Research.

Start date: May 2020

Duration: 3 years

Stipend

The studentship is available to both International and UK/EU applicants and provides a bursary of approximately £15,009 in 2019/20 and the two following years, together with payment of fees (£13,250 for international or £4,975 for UK/EU applicants).

Applicant requirements

Applications are invited from individuals with a 1st or 2:1 in a relevant engineering or related scientific discipline. A Master’s degree or equivalent industrial experience would be desirable. We are seeking applicants with a good understanding of Machine Learning algorithms and/or Communication Networks and strong analytical and programming skills.  Prior research experience in the application of Machine Learning algorithms to Communications Networks would be an advantage.

The studentship is available to both International and UK/EU applicants and provide a bursary of approximately £15,009 in 2019/20 and the two following years, together with payment of fees (£13,250 for international or £4975 for UK/EU applicants).

Application process

Please download and complete an application form. obtained from the following link:

Your completed application should be emailed to doctoralcollegeadmissions@herts.ac.uk. You must also include with your application (in the section 11 personal statement/further information section of the application form) a 500 word summary indicating your motivation for wanting to undertake this PhD project and a brief outline of your initial thoughts on the topic of research.

Closing date for applications: 31 March 2020

Interview dates: first week of April 2020

Expected studentship start date: 1 May 2020 or as soon as possible thereafter