Shape the Future of Biomedical AI at the University of Manchester
British Heart Foundation Centre for Research Excellence | Department of Computer Science | National Centre for Text Mining (NaCTeM)
Full-time, Fixed Term (2 Years)
Suitable for Recent PhD Graduates or Candidates Nearing PhD Submission
Areas: Agentic AI • LLMs • Biomedical NLP • MoE • World Models
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.
This 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:
1. Large Language Models (LLMs)
2. Natural Language Processing (NLP)
3. Machine Learning and AI
4. Biomedical and Clinical AI
5. 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:
6. Agentic LLM systems
7. Mixture-of-Experts (MoE) architectures
8. World models and simulation-informed AI
9. Retrieval-augmented and tool-augmented reasoning
10. Trustworthy and interpretable biomedical AI
We welcome applications from:
11. Recent PhD graduates
12. Candidates close to submitting their PhD thesis
13. Researchers with strong backgrounds in AI, NLP, machine learning, or biomedical AI
You should ideally have:
14. Experience with LLMs and modern deep learning systems
15. Strong programming skills (Python, PyTorch/TensorFlow)
16. A research track record in strong AI/NLP venues
17. Interest in agentic AI, reasoning systems, MoE, or biomedical applications
Why Join Us?
18. Work in one of the world’s leading biomedical NLP centres
19. Access substantial dedicated AI compute infrastructure
20. Collaborate with leading experts in AI, medicine, and cardiovascular science
21. Publish at leading AI conferences and journals
22. Receive support for conferences and career development
23. Help shape AI systems with real-world healthcare impact
What you will get in return:
24. Fantastic market leading Pension scheme
25. Excellent employee health and wellbeing services including an Employee Assistance Programme
26. Exceptional starting annual leave entitlement, plus bank holidays
27. Additional paid closure over the Christmas period
28. Local and national discounts at a range of major retailers