Research Assistant / Research Fellow - 15753-1

Brunel Law School; London; Hybrid; CAD 67,000 - 72,000; Full time

Job summary

A leading university in London is seeking a Research Assistant/Research Fellow to work on cutting-edge EU/UK projects focusing on privacy-enhanced 5G/6G monocular markerless motion capture systems for healthcare applications. The ideal candidate will have a strong background in deep learning and large AI models, with opportunities for collaborative research in the UK and EU. This position offers a competitive salary and the possibility of hybrid work.

Benefits

Generous annual leave package

Discretionary University closure days

Excellent training and development opportunities

Great occupational pension scheme

Health-related support

Qualifications

• Experience with publications in leading AI/ML conferences, e.g., CVPR, NeurIPS, ICML.
• Ability to visit industrial partners for collaborative research.
• Knowledge of motion capture systems for healthcare.

Responsibilities

• Contribute to EU/UK projects on motion capture systems.
• Collaborate with industrial partners in the UK and EU.
• Develop privacy-enhanced 5G/6G-supported systems for healthcare.

Skills

Deep learning

Large AI models

Large language models

Rendering techniques for human body animations

Understanding of semantic communication

Education

Relevant degree in Computer Science or related field

Job description

The successful candidate will contribute to the EU/UK projects (with funding support from Innovate UK, EU, UKRI and Innovate UK), which aim to develop a privacy-enhanced 5G/6G-supported monocular markerless motion capture (gait assessment) system for healthcare/rehabilitation applications.

College / Directorate

College of Engineering, Design & Physical Sciences

Department

Department of Computer Science

Full Time / Part Time

Full Time

Posted Date

05/08/2025

Closing Date

05/09/2025

Ref No

4904

Position Title: Research Assistant / Research Fellow – 15753-1

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

Location: Brunel University of London, Uxbridge Campus

Salary for Research Assistant: Grade R1 from £36,640 to £38,638 per annum inclusive of London Weighting with potential to progress to £39,682 per annum inclusive of London Weighting through sustained exceptional contribution. (Pro-rata for Part-time)

Salary for Research Fellow: Grade R1 from £40,757 to £44,179 per annum inclusive of London Weighting with potential to progress to £47,921 per annum inclusive of London Weighting through sustained exceptional contribution. (Pro-rata for Part-time)

Hours: Full-time

Contract Type: Fixed term until 31 January 2027

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/UK projects (with funding support from Innovate UK, EU, UKRI and Innovate UK), which aim to develop a privacy-enhanced 5G/6G-supported monocular markerless motion capture (gait assessment) system for healthcare/rehabilitation applications. It is expected that the application has the knowledge of: 1) deep learning, large AI models, large language models; 2) the rendering techniques for generating human body animations from 3D joint coordinates; 2) understanding wireless transmission (semantic communication) concept. The successful candidate will also need to visit our industrial partner in the UK and EU, to do collaborative research and experiment. Preference will be given to candidates with publications in leading AI/ML conferences, e.g., CVPR, NeurIPS, ICML.

Please upload your CV (including key publications in leading AI/ML conferences) and a Cover letter summarising your experience and achievements in the application system.

For an informal discussion, please email Professor Kezhi Wang at [e-mail]. Due to the large number of inquiries, we may only reply to emails from applicants who meet the recruitment/project requirements.

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: 5 September 2025

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: [e-mail]

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

• Research Assistant - Job Description (Word, 119.87kb)
• Research Fellow - Job Description (Word, 116.42kb)
  
  

Apply here

Send to a Friend