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. The successful candidate will also need to visit our industrial partner in the UK/EU to do collaborative research and experimentation. The candidate with the following knowledge is preferable: Agentic AI, large language models (LLMs), and Vision-Language-Action (VLA) models. Preference will also be given to candidates with publications at leading AI/ML conferences, such as CVPR, ICLR, and NeurIPS.

College / Directorate

College of Engineering, Design & Physical Sciences

Department

Department of Computer Science

Full Time / Part Time

Full Time

Posted Date

16/07/2026

Closing Date

16/08/2026

Ref No

5181

Position Title: Research Assistant/ Research Fellow – 16945

College/Department: College of Engineering, Design and Physical Sciences/Department of Computer Science

Location: Brunel University of London, Uxbridge Campus

Salary

Salary for Research Assistant: R1 Grade from: £37,118 to £39,144 per annum inclusive of London Weighting with potential to progress to £40,202 per annum inclusive of London Weighting through sustained exceptional contribution. (Pro-rata for Part-time)

Salary for Research Fellow: R1 Grade from: £41,292 to £44,762 per annum inclusive of London Weighting with potential to progress to £48,557 per annum inclusive of London Weighting through sustained exceptional contribution. (Pro-rata for Part-time)

Hours: Full-time

Contract Type: Fixed term for 4 months or until 28 Feb 2027, whichever is earlier. Extension may be possible depending on the progress and subject to the availability of funding.

Brunel University of 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 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. The successful candidate will also need to visit our industrial partner in the UK/EU to do collaborative research and experimentation. The candidate with the following knowledge is preferable: Agentic AI, large language models (LLMs), and Vision-Language-Action (VLA) models. Preference will also be given to candidates with publications at leading AI/ML conferences, such as CVPR, ICLR, and NeurIPS.

Please upload your CV (including publications) and a Cover letter summarising your experience and achievements in the application system.

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: 16 August 2026

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.

Documents

JD - Research Assistant (Word, 119.71kb)

JD - Research Fellow (Word, 116.32kb)

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