Research Assistant / Research Fellow - 16192

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 College / Directorate College of Engineering, Design & Physical Sciences Department Department of Computer Science Full Time / Part Time Full Time Posted Date 03/08/2026 Closing Date 24/08/2026 Ref No 5190 Position Title: Research Assistant / Research Fellow – 16192 College/Department: College of Engineering, Design and Physical Sciences / Department of Computer Sciences 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 until 31 March 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 and UKRI) which aim to develop a wireless network digital twin system for smart city logistics and last-mile applications. It includes performance analysis for 5G/6G systems, developing machine learning-based algorithms, establishing a radio propagation model, and conducting network planning and optimisation. The successful candidate will also need to visit our industrial partner in the UK/EU, to do collaborative research and experiment. The candidate with the following knowledge is preferable: machine learning, large AI model, large language model (LLM), and Artificial intelligence generated content (AIGC). Preference will also be given to candidates with publications in leading AI/ML conferences. 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: 24 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 Research Assistant - Job Description (Word, 120.02kb) Research Fellow - Job Description (Word, 116.4kb) Apply here Send to a Friend

Develop a wireless network digital twin system for smart city logistics and last-mile applications. Responsibilities include performance analysis for 5G/6G systems, developing ML algorithms, and conducting collaborative research with industrial partners.

Candidates should have expertise in machine learning, large AI models, LLMs, and AIGC. Preference is given to those with publications in leading AI/ML conferences.

• Annual leave package • University closure days • Training and development opportunities • Occupational pension scheme • Health-related support

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Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Machine Learning
• Large AI Models
• Large Language Models
• Artificial Intelligence Generated Content
• 5G/6G Systems Performance Analysis
• Radio Propagation Modeling
• Network Planning
• Network Optimisation
• Wireless Network Digital Twin
• Collaborative Research

• Science & Research
• Technology
• Engineering
• Education
• Software

Formation minimale

Maîtrise

Expérience minimale

2+ ans

Postuler avant le

4 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Entry level