Research Assistant/Research Fellow - 15753

College of Engineering, Design and Physical Sciences

Location: Brunel University London, Uxbridge Campus

Salary:

Research Assistant: Grade R1 from £35,490 to £37,488 per annum inclusive of London Weighting with potential to progress to £38,532 per annum inclusive of London Weighting through sustained exceptional contribution. (Pro-rata for Part-time)

Research Fellow: Grade R1 from £39,607 to £44,240 per annum inclusive of London Weighting with potential to progress to £46,771 per annum inclusive of London Weighting through sustained exceptional contribution. (Pro-rata for Part-time)

Hours: Full-time

Contract Type: Fixed term for 2 years

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 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 EU projects (with funding support from Innovate UK and UKRI) which aim to develop wireless communication optimisation algorithms for digital healthcare applications and/or low latency real-time AI inference models for markerless pose detection in healthcare applications. Also, the candidate will support the project focusing on human-guided collaborative multi-objective design of explainable, fair and privacy-preserving AI for digital health. The candidate with one or more knowledge of the following areas is preferable: semantic communications, real-time pose estimation, 5G/6G, machine learning, healthcare-related image and video processing, and the latest ML/AI model, e.g., large AI model, large language model (LLM), and AIGC.

The successful candidate may also need to visit our partners in the UK, EU and the world, to do collaborative research.

For an informal discussion, please email Professor 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 September 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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