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A leading university is seeking a part-time Research Assistant to contribute to innovative EU/UK projects focused on wireless network digital twins for smart city logistics. The role involves performance analysis, machine learning, and collaboration with industrial partners. Candidates with relevant experience and publications are encouraged to apply.
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The successful candidate will contribute to EU / UK projects, funded by Innovate UK, EU, and UKRI, developing a wireless network digital twin system for smart city logistics and last-mile applications. Responsibilities include performance analysis for 5G / 6G systems, developing machine learning algorithms, establishing radio propagation models, and conducting network planning and optimization. The candidate will need to visit our industrial partners in the UK / EU for collaborative research and experiments. Knowledge of large AI models, large language models (LLMs), and Raytracing tools is required. Preference will be given to candidates with publications in leading AI / ML conferences.
College / Directorate : College of Engineering, Design & Physical Sciences
Department : Department of Computer Science
Full Time / Part Time : Part Time
Posted Date : 16 / 05 / 2025
Closing Date : 06 / 06 / 2025
Ref No : 4840
Position Title : Research Assistant – 16192
Location : Brunel University of London, Uxbridge Campus
Salary : Research Assistant : Grade R1 from £36,390 to £38,388 per annum inclusive of London Weighting, with potential to progress to £39,432 per annum through sustained exceptional contribution. (Pro-rata for Part-time)
Contract Type : Fixed term for 12 months
Brunel University of London is a research-intensive university established in 1966, known for its high rankings in Computer Science and Engineering research. For more info, visit : https : / / www.brunel.ac.uk / about / our-history / home
The Department of Computer Science is ranked 3rd in the UK (2020-22) overall, with top positions in research output and citations. Contributions to this project include developing wireless network digital twins, performance analysis, machine learning algorithms, radio propagation models, and network optimization. The role involves visiting UK / EU industrial partners for collaborative research. Applicants should upload their CV (including publications) and a cover letter summarizing their experience. For informal discussions, contact Professor Kezhi Wang at Kezhi.Wang@brunel.ac.uk.
Benefits include generous leave, training, pension schemes, and flexible working. The application deadline is 6 June 2025. For more info and to apply, visit https : / / careers.brunel.ac.uk. For technical issues, contact hrsystems@brunel.ac.uk.
Brunel University London is committed to diversity and inclusion, welcoming applicants from all backgrounds, especially those underrepresented.