The University of Manchester, Department of Computer Science, is seeking an ambitious AI researcher to join the British Heart Foundation Centre for Research Excellence (BHF-CRE) and the National Centre for Text Mining (NaCTeM), a world-leading centre in biomedical NLP and AI.
The role focuses on developing the next generation of agentic biomedical AI systems, moving beyond static language models toward adaptive, reasoning-driven AI capable of planning, retrieving, simulating, and interacting with complex biomedical environments to support cardiovascular disease research.
The successful candidate will join an existing interdisciplinary team of researchers working across:
- Large Language Models (LLMs) - Natural Language Processing (NLP) - Machine Learning and AI - Biomedical and Clinical AI - Cardiovascular Disease Research
You will work closely with AI researchers, clinicians, and biomedical scientists to design systems capable of reasoning, planning, tool use, simulation, and scientific discovery in healthcare settings.
Research themes include:
- Agentic LLM systems - Mixture-of-Experts (MoE) architectures - World models and simulation-informed AI - Retrieval-augmented and tool-augmented reasoning - Trustworthy and interpretable biomedical AI
We welcome applications from:
- Recent PhD graduates - Candidates close to submitting their PhD thesis - Researchers with strong backgrounds in AI, NLP, machine learning, or biomedical AI
You should ideally have:
- Experience with LLMs and modern deep learning systems - Strong programming skills (Python, PyTorch/TensorFlow) - A research track record in strong AI/NLP venues - Interest in agentic AI, reasoning systems, MoE, or biomedical applications
Why Join Us?
- Work in one of the world’s leading biomedical NLP centres - Access substantial dedicated AI compute infrastructure - Collaborate with leading experts in AI, medicine, and cardiovascular science - Publish at leading AI conferences and journals - Receive support for conferences and career development - Help shape AI systems with real-world healthcare impact
Contract Duration: Fixed term for 24 months (full time) Salary: £32,080 - £46,049 per annum depending on experience Closing date: 21 May 2026
For further details and to apply, please visit: https://www.jobs.manchester.ac.uk/Job/JobDetail?JobId=34883
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Paul Thompson Research Fellow Department of Computer Science National Centre for Text Mining Manchester Institute of Biotechnology University of Manchester 131 Princess Street Manchester M1 7DN UK http://personalpages.manchester.ac.uk/staff/Paul.Thompson/
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Paul Thompson Research Fellow Department of Computer Science National Centre for Text Mining Manchester Institute of Biotechnology University of Manchester 131 Princess Street Manchester M1 7DN UK http://personalpages.manchester.ac.uk/staff/Paul.Thompson/