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Research Associate in Optical Wireless Networks

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Building and Campus: Strand Building, Strand Campus

Job description

Researchers are invited to apply for a position of Research Associate in optical wireless networks at the Department of Engineering, King’s College London.

The role offers an exciting opportunity to undertake internationally-leading research in the field of Optical Wireless Communication as part of the 6m EPSRC (Engineering and Physical Sciences Research Council) Terabit Bidirectional Multi-user Optical Wireless System (TOWS) for 6G LiFi.

This project aims to use new concepts in cellular optical communications to demonstrate indoor Terabit/s multiuser wireless systems that offer capacities at least two orders of magnitude higher than the current planned optical and radio wireless systems for 5G, with a roadmap to wireless systems that can offer up to four orders of magnitude higher capacity.

The research team has pioneered the development of optical wireless systems (OW) over the past 20 years, where a number of world-first contributions to optical wireless were made leading to data rates that increased as a result from few Mbit/s to multi Gbit/s with full mobility. The research team is supported by facilities including a multi-million pound investment in test-beds for optical communication networks and internet-of-things networks.

With a PhD (or close to completion) in Electronic Engineering, Communications, Networks, or a related area, you will have experience in communication network design and optimisation using mixed integer linear programming (MILP) and machine learning (ML). A good track record of publications is essential and a proven ability to integrate into research teams and contribute to the training of postgraduate students are highly desirable.

This post will be offered on a full time fixed-term contract until 31 March 2024 with the possibility of one year extension. 

This is a full-time post – 100% full time equivalent.

Key responsibilities

  • Developing new front haul and back haul network architectures to enable multiuser and multi-service operation with varying requirements and constraints per user and per service;
  • Developing MILP optimisation models and machine learning (ML) algorithms for real time implementation on NetFPGA platforms;
  • Preparing papers for publication in the top recognised journals and conferences in the field, and, where possible, to contribute to the preparation of grant proposals;
  • Leading and supporting all the activities associated with the project;
  • Contributing to joint discussions with the wider research group and collaborators;
  • Interacting with, and providing assistance to, other staff in the research group;
  • Continually updating your knowledge and understanding in the field or specialism and applying this knowledge to your work;
  • Contributing to the training of postgraduate students, including assisting with the supervision of projects in areas relevant to the project.

The above list of responsibilities may not be exhaustive, and the post holder will be required to undertake such tasks and responsibilities as may reasonably be expected within the scope and grading of the post.

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