Research Fellow in Intelligent Management of 5G/beyond-5G Networks
School/department: School of Engineering and Informatics
Hours: Full time
Contract: Fixed term for 5 years
Salary: Starting at £39,992 and rising to £47,722 per annum (salary will be set according to skills and abilities).
Placed on: 10 August 2017
Closing date: 30 October 2017. Applications must be received by midnight of the closing date.
Expected interview date: Week beginning 25 November 2017
Expected start date: 08 January 2018
The Department of Engineering and Design wishes to appoint a Research Fellow in the rapidly growing field of 5G/beyond 5G Mobile Communications Networks.
The successful candidate will join the group of Prof. Maziar Nekovee, a world renowned expert in 5G. He/She is will conduct cutting-edge research into machine-learning algorithms and novel network analysis schemes for intelligent management of 5G and beyond-5G mobile communication networks, resulting in high-quality publication, software and hardware demonstrators and contributions to appropriate industry fora.
You will work closely with industrial collaborators of the group to ensure industry impact of the research results, and will be engaged in the groups’ extensive and worldwide collaboration networks which include, e.g., the EC-funded 5G Infrastructure Association (EU), the EPSRC-funded COMNET2 and the NSF-funded Collaborative Research Network (USA). The successful candidate is also expected to play a key role he expansion of the group by assisting in the development of competitive bids to funding bodies and industry.
The successful candidate will have research expertise in one or multiple of the following areas: machine learning, telecommunications, digital communications and applications, algorithms and protocols, SDN, NFV, 5G and its evolution. He/She will be expected to be able to undertake high quality research and assist with teaching at undergraduate and postgraduate level across core areas of electrical or computer engineering, and to supervise undergraduate and postgraduate Masters projects.
A PhD Degree in Computer Science or Electrical and Electronic Engineering and excellent working knowledge of machine-learning and computational artificial intelligence, gained through research and/or practice in industry is essential. Familiarity with mobile communications network architectures and protocols (LTE, 5G New Radio (NR)
The successful candidate will be appointed at the level appropriate to his/her experience and qualifications.
Informal enquiries may be addressed to Professor Maziar Nekovee, Head of Department of Engineering and Design, M.Nekovee@sussex.ac.uk;
How to apply
Download our academic post application form [DOC 301.50KB] and personal details and equal opportunities form [DOC 162.50KB] and fill in all sections.
Applications should be accompanied by a full CV, and statements of future research plans and ways in which the applicant could contribute to teaching across the School.
Email your completed application, and personal details and equal opportunities form, to firstname.lastname@example.org
You should attach your application form and all documents to the email (don't use a web-based upload/weblink service) and use the format job reference number / job title / your name in the subject line.
You can also send your application by post to Human Resources Division, Sussex House, University of Sussex, Falmer, Brighton, BN1 9RH.