Research Assistant in the design of AI Large Language Model architectures - 15563

Brunel University London - Department of Electronic and Electrical Engineering

Location: Uxbridge

Salary: £36,640 to £38,638 inclusive of London Weighting with potential to progress to £39,682 per annum inclusive of London Weighting.

Hours: Full Time

Contract Type: Fixed-Term/Contract until 31 December 2026

Job Ref: 603797

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

We are seeking to appoint a Research Assistant who will work on the ELOQUENCE European project which aims to study Large Language models in Artificial Intelligence. You will be required to work as part of the project team and develop artificial intelligence technologies relevant to Large Language Models. You may also have to do regular trips, participate in project meetings, give presentations, and interact with other internal and external members of the consortium through both oral and written communications. In addition, you will be expected to prepare project reports and co-author research papers.

The ideal candidate is expected to be working towards a PhD in Computer Engineering, Computer Science, Computer Systems Engineering, Electronic Engineering, or a related discipline. The candidate is expected to have substantial research experience in Artificial Intelligence, with a focus on design, training, and testing of Generative Adversarial Networks. Knowledge of and experience in Python, TensorFlow, Keras, or other Machine Learning toolboxes, is essential. Knowledge of and experience in Large Language Models is highly relevant. The successful candidate has practical experience working with LLMs and demonstrate the actual work completed.

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: 11 February 2026

For further details about the post including the Job Description and Person Specification and to apply please click the Apply button.

If you have any technical issues please contact us at: hrsystems@brunel.ac.uk

For informal requests about the post, please contact the PI Professor Tatiana Kalganova (tatiana.kalganova@brunel.ac.uk) or Co-I Dr Nikolaos Boulgouris (nikolaos.boulgouris@brunel.ac.uk).