Research Associate in AI in communication Networks, and 6G Network Design.

at  Kings College London

Job id: 094986. Salary: £43,205 per annum, including London Weighting Allowance.
Posted: 02 September 2024. Closing date: 16 September 2024.
Business unit: Natural, Mathematical & Engineering Sci. Department: Engineering.
Contact details: Toktam Mahmoodi. Toktam.mahmoodi@kcl.ac.uk
Location: Strand Campus. Category: Research.
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About us
Recently re-founded, the Department of Engineering is rapidly expanding into a world-class research and teaching department. Research currently focuses on robotics, telecommunications and biomedical engineering, but we are looking to establish new research themes.
We offer both undergraduate and postgraduate teaching, with a distinctive approach, combining both traditional teaching methods with modern, project-based learning, catering for the needs of our students and the industries in which they will work.
As a new department we have invested in new laboratories and maker space at the centre of the Strand campus in the heart of central London.
For more information: https://www.kcl.ac.uk/engineering
About the role
Applications are invited for Research Associate/Research Fellow in AI for communication Networks, and 6G mobile network design, including Edge AI, distributed AI, digital twining and energy efficiency in mobile and wireless networks. The position is full-time at King’s College London, and a fixed term contract until 31st March 2025.
The role will be part of a £12 million strategic investment of the UK government in project REASON. This is a joint project with academic partners, including Uni of Bristol, Strathclyde, and Southampton, and industrial partners, including Ericsson, Nokia, Samsung UK, Thales UK, and BT.
You will be a conscientious, innovative scientist who has successfully completed a PhD (or equivalent) in Telecoms, computer science and engineering including electrical/electronic engineering or similar. Experience in designing machine learning algorithms for edge-enabled wireless networks is preferred.
At King’s, you will join a research-leading and multi-disciplinary team REASON, including Dr Yansha Deng, Dr Vasilis Friderikos, Professor Toktam Mahmoodi, and Professor Osvaldo Simeone. You will be based in the Centre for Telecommunications Research (CTR) at the
Department of Engineering. The successful candidate will also be expected to collaborate with the project partners and members of the research group.
This is a full time post, and you will be offered on a fixed term contract until the 28th February 2025.
About you
To be successful in this role, we are looking for candidates to have the following skills and experience:
Essential criteria
1. BSc in Telecoms, Computer Science, Electronic Engineering or related area.
2. PhD awarded in relevant topics of Telecoms, Computer Science, Electronic Engineering or related area (or near completion).
3. Ability to demonstrate a record of peer-reviewed journal publications.
4. Publications demonstrating his/her experience in relevant research topics.
5. Ability to use Python and MATLAB.
6. Strong appetite for interdisciplinary research.
7. Ability to work collaboratively and independently.

1. Good interpersonal / team working skills

• Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting the award of their PhDs will be considered. Should the successful candidate be awaiting the award of their PhD, the appointment will be made at Grade 5, spinal point 30 with the title of Research Assistant until confirmation of the award of the PhD has been received. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6, spine point 31.

Desirable criteria
1. Knowledge of edge computing and 5G/6G wireless networks
2. Prototyping experience in open-air interface and Software-defined Radio
3. Expertise and track record in mobile edge computing
Downloading a copy of our Job Description
Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the next page after you click “

Please refer the Job description for details