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Research Assistant/Research Fellow - 15616

Brunel University London - Department of Computer Science

Location: Uxbridge, Hybrid
Salary: £35,490 to £44,240 Grade R1, per annum, inclusive of London Weighting with potential to progress to £46,771 per annum inclusive of London Weighting through sustained exceptional contribution.
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 5th February 2024
Closes: 4th March 2024
Job Ref: 550410

College of Engineering, Design and Physical Sciences      

Location: Brunel University London, Uxbridge Campus

Salary: Grade R1

Research Assistant: from £35,490 to £37,488 inclusive of London Weighting with potential to progress to £38,532 per annum inclusive of London Weighting through sustained exceptional contribution.

Research Fellow: from £39,607 to £44,240 inclusive of London Weighting with potential to progress to £46,771 per annum inclusive of London Weighting through sustained exceptional contribution.

Hours: Full-time

Contract Type: Fixed-term for 2 years with the possible extension to 3 years depending on performance and funding availability.

Brunel University London was established in 1966 and is a leading multidisciplinary research-intensive technology university delivering economic, social and cultural benefits. For more information please visit:  https://www.brunel.ac.uk/about/our-history/home

The Department of Computer Science at Brunel where this project will be conducted is ranked 3rd in the UK (2020-22) overall in the NTU Performance Ranking of Scientific Papers for World Universities and, for five years in succession, 1st in the UK for H-index and Highly Cited Papers (2018-2022). According to the recently released 2023 Shanghai Academic Ranking of World Universities (ARWU) Computer Science & Engineering at Brunel has been ranked 7th in the UK and in a very respectable 101-150 position worldwide. Moreover, according to the 2023 Times Higher Education rankings, Computer Science is 17th in the UK and in the Top 200 worldwide.

The successful candidate will contribute to the project which aims to develop wireless network digital twin system for smart city logistics and applications. It includes performance analysis for 5G/6G system, developing machine learning (ML) / Artificial intelligence (AI) based algorithm, establishing radio propagation model, and conducting network planning and optimisation. The knowledge of the latest ML/AI model, e.g., large AI model, large language model (LLM), and AIGC is preferable.

The successful candidate may also need to visit our industrial partners in the UK, and the world, e.g., Israel, to do collaborative research and experiment.

For informal discussion, please email Dr Kezhi Wang at Kezhi.Wang@brunel.ac.uk

We offer a generous annual leave package plus discretionary University closure days, excellent training and development opportunities as well as a great occupational pension scheme and a range of health-related support. The University is committed to a hybrid working approach.

Closing date for applications: 4 March 2024

For further details about the post including the Job Description and Person Specification and to apply please visit https://careers.brunel.ac.uk

If you have any technical issues please contact us at: hrsystems@brunel.ac.uk

Brunel University London is fully committed to creating and sustaining a fully inclusive workforce culture. We welcome applicants from all backgrounds and communities, we particularly welcome applicants who are currently under- represented in our workforce.

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