Research Fellow on Learning-Based Communications University College London Department of Engineering United Kingdom



A part of our work in Deep Learning based Wireless Communications, the UCL Electronic & Electrical Engineering, Information and Communication Engineering Group, invites applications for a postdoctoral research position in Transceiver design based on Neural Networks. The scope of this project is to develop new fundamental data - driven transceiver design by representing the transceivers as deep multi-layered Neural Networks specifically tailored to wireless communications. We are looking for a talented postdoctoral researcher to join our team and help us fulfill the project's goals, producing quality research. The work will involve signal processing design for transceivers using neural networks including algorithm development, simulation and testing and publishing high quality research papers in high-ranked journals. The postholder will undertake research, design and development in the context of the EPSRC-funded LeanCom project. The postholder will be expected to present research at international conferences and project meetings and to contribute to the preparation and drafting of research bids and proposals. The successful candidate will work within an established research team led by Dr Christos Masouros and will be expected to contribute to the overall activities of the team and the department. The position is available from October 2019 for 24 months in the first instance. Further funding to support the post may be available.


Applicants should have (or be about to submit) a PhD in a relevant subject area, or similar experience demonstrated via publications in international journals / conferences or patents. A strong (first or upper second class) undergraduate degree in Electronic Engineering or Computer Science is also essential, as is knowledge of Wireless Communications, including signal processing for Wireless Communications. Candidates should have strong programming skills in Matlab and Python and a knowledge of Neural Network simulation and convex optimization is desirable. If the successful candidate has not yet been awarded their PhD, appointment will be made as a Research Assistant (Grade 6B). Payment at Grade 7 will be backdated to the date of final submission of the PhD thesis including corrections, once the PhD has been awarded. The salary scale for Research Assistant (Grade 6B), point 24-26 is £30,922 - £32,607 per annum.


Applicants should apply online. To access further details about the position and how to apply please click on the 'Apply' button above. Interested applicants are encouraged to make informal enquiries about the post to Dr Christos Masouros Any queries regarding the application process can be sent to Vicky Coombes


Latest time for the submission of applications: 23.59.


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