Research Associate (Massive Machine-to-Machine Networks) - D88526R

Newcastle University - Bio and Environmental Engineering

Closing Date: 13 October 2017

This is an excellent opportunity to undertake research on massive machine-to-machine communications. This project is a collaboration with King's College London and Loughborough University.

The overarching aim of the project is to characterise traffic and interference in massive machine-to-machine communications and to develop advanced signal processing solutions for enhancing data rates and optimising spectral and energy resources. We will achieve this aim by advancing the state of the art technology in stochastic geometry, convex optimization and game-theoretic mechanism design. In particular, at Newcastle we will look at optimization for grouping based radio resource allocation and distributed coding techniques for machine-to-machine communications. A simulation reference model based on machine type communications in LTE and 5G will be developed for overall performance evaluation.

You will need to be motivated, independent, hardworking and have excellent communication skills. You will have a first degree and PhD awarded in Electrical and Electronic Engineering or related fields. You will be passionate to gain a deep understanding of related areas in communications signal processing. Additionally, you should have excellent skills in MATLAB/C, and experience in mathematically modelling.

To be considered you should also have a track record of publishing papers in leading research journals or equivalent knowledge. You will be part of the Intelligent Sensing and Communications Group within the School of Engineering, at Newcastle University, but will also liaise with the collaborating research teams in London and Loughborough.

Please contact Prof Jonathon Chambers ( ) with enquiries

The post is available fixed term until 30-09-2020 and is full time. Applications from candidates wishing to explore flexible working options will be considered.

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The University holds a silver Athena SWAN award in recognition of our good employment practices for the advancement of gender equality, and the University holds the HR Excellence in Research award for our work to support the career development of our researchers. We are also a member of the Euraxess network.

Please be advised that due to a new minimum salary threshold of £30,000 per annum imposed by the UKVI, this post may not qualify for University sponsorship under Tier 2 of the points based system.

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