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Two positions for Research Fellows

Full Time

Position

University College London, Gower Street, London, WC1E 6BT, UK

Location

1 Oct 2019

Application Deadline


The London Centre for Nanotechnology (LCN) and Department of Electronic and Electrical Engineering (EEE) at UCL are jointly seeking to appoint a Lecturer in nanostructures and devices, including quantum devices or quantum sensing (broadly interpreted).A candidate will be sought with research programmes that will extend and complement those currently underway in the LCN and in the Electronic Materials and Devices and Photonics groups of EEE.The person appointed will have their research programme primarily in the LCN and participate in the teaching programmes within EEE.The appointment offers the chance to access internationally leading facilities in the LCN for the fabrication and characterization of nanometre-scaledevices, materials and structures, funded in partby the UK National Quantum Technologies Programme under the QUES2T collaboration. The position potentiallyaligns with three newly funded Centres for Doctoral Training in Delivering Quantum Technologies, Advanced Characterisation of Materialsand Connected Electronic and Photonic Systems.


We currently have two positions for Research Fellows for the project: Learning to Communicate: Deep Learning based solutions for the Physical Layer of Machine Type Communications [LeanCom]. We wish to recruit two Research Fellows from 1st October 2019 or as soon as possible thereafter, as part of 24 month research positions. The successful candidates will work on the recently awarded Engineering and Physical Sciences Research Council (EPSRC) project: Learning to Communicate: Deep Learning based solutions for the Physical Layer of Machine Type Communications [LeanCom] (https://www.ucl.ac.uk/iccs/research-projects/2019/may/leancom-deep-learning-based-solutions-physical-layer-machine-type). This project aims to address the development of 1. a communications specific Deep Learning (DL) framework, 2. DL-inspired PHY solutions and, 3. proof-of-concept verification of the proposed solutions. In-depth knowledge of signal processing for wireless communications and neural networks would be essential as part of these roles. The successful candidates will be part of UCL’s Institue of Communications and Connected Systems. *Apply here: https://www.ucl.ac.uk/electronic-electrical-engineering/vacancies Duration: The posts are available from 1st October 2019 or as soon as possible thereafter for a period of 24 months, in the first instance. Extension of the duration of the posts may be possible. Salary: Grade 7 - £35,328 - £42,701 per annum inc. London Allowance

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