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Postdoctoral Research Assistant - QMUL13457

Department: School of Electronic Engineering & Computer Science
Salary: £32,956 -£36,677 per annum (Grade 4)
Reference: QMUL13457
Date posted: 21-Dec-2017
Closing date: 21-Jan-2018

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Overview:

Applications are invited for a postdoctoral research position on massive machine type of communications (mMTC) for 5G, with special focus on characterizing traffic and interference in massive machine to machine (M2M) communications and to develop advanced signal processing solutions for enhancing data rates and optimizing spectral and energy resources in 5G heterogeneous applications. The proposed research has roots in diverse disciplines, including communications theory, information theory, stochastic geometry, queuing theory, signal processing, and optimization. The successful candidate will be expected to collaborate with industrial research partners as well as with academic research partners in Leicester and Loughborough universities with the aim of integrating various research work packages.

 

In particular, we will contribute in terms of characterizing heterogeneous traffic patterns associated with massive M2M communications, develop distributed random access channel protocols, propose convex and game theoretic resource allocation methods and design of energy harvesting constraint based cross-layer optimization algorithms and protocols. All the concepts and algorithms developed will be integrated and the radio link layer performance will be assessed using a simulation reference system based on LTE-Advanced standards and its evolution towards 5G. The successful candidate will have the flexibility to choose a topic within the range of the project, according to his/her experience and preference.

 

Applicants must have a PhD (or about to obtain a doctoral degree soon) in Electrical and Electronic Engineering, Computer Science or in a relevant field and research experience in communications, antennas, and/or signal processing. Familiarity with mMTC, stochastic geometry, convex optimization and heterogeneous and small cell networks would be an advantage. Candidates should have a strong publication record with extensive experience in publishing research findings in international journals and conference proceedings. Good programming skills and experience in Matlab programming is essential.

 

This is an EPSRC funded project entitled “Communications Signal Processing Based Solutions for Massive Machine-to-Machine Networks (M3NETs)”. This is a full time post for 35 months, starting 1 March 2018 or as soon as feasible before this date. The starting salary will be in the range of £32,956 - £36,677 per annum inclusive of London allowance. Benefits include 30 days annual leave, defined benefit pension scheme and interest-free season ticket loan.

 

Candidates must be able to demonstrate their eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006. Where required this may include entry clearance or continued leave to remain under the Points Based Immigration Scheme. 

 

Informal enquiries should be addressed to Professor A. Nallanathan (a.nallanathan@qmul.ac.uk).

 

To apply, please click on the link below.

 

Candidates are politely requested to upload documents totaling no more than 10 pages.

Please note large documents e.g. PhD thesis/Research papers are not forwarded to the interview panel.

 

The closing date for applications is 21 January 2018.  Interviews are expected to be held shortly thereafter.

 

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