Summary
The Cancer Research UK Cambridge Institute is offering a PhD studentship focused on “Generative Modelling for Foundational Discovery in Biomedicine.” The project, supervised by Dr. Hana Aliee, aims to advance machine learning techniques to address key challenges in biomedicine.
PhD Studentship in Generative Modelling for Foundational Discovery in Biomedicine
Designation:
PhD Studentship
Key Information
| Field | Details |
|---|---|
| Research Area | Generative Modelling, Machine Learning, Biomedicine |
| Location | Cancer Research UK Cambridge Institute |
| Funding | Fully funded for University fees and stipend starting at £22,500 pa (2026-27) |
| Duration | Four years |
| Reference | SW49526 |
| Category | Studentships |
| Date Published | 27 April 2026 |
| Closing Date for Applications | 8 June 2026 |
Eligibility/Qualifications
- Recent graduates or final-year undergraduates with or expecting to gain a First or Upper Second Class degree (or equivalent) in a relevant subject (Computer Science, Mathematics, etc.).
- Strong background in machine learning and solid programming skills.
- No prior knowledge of biology or medicine is necessary, but a keen interest in applying research to these fields is encouraged.
- Relevant research experience is advantageous.
Job Description
The PhD project encompasses:
- Development of generative models for multimodal data representation.
- Improving generalizability, interpretability, reasoning, and causal grounding of these models.
- Creating new optimization algorithms with biologically meaningful regularization and inductive biases.
- Uncovering latent mechanisms and enabling principled hypothesis testing through probabilistic generative models and counterfactual reasoning frameworks.
How to Apply
Interested candidates should apply via the University Applicant Portal by selecting to commence study in Lent Term (January) 2027. The application requires:
- Choice of project and supervisor (reference code: SW49526).
- Details of research experience and a statement of interest (max. 2,500 characters each).
- Supporting documents: Academic transcripts, evidence of English competence (if applicable), details of two academic referees, CV/resume.
Application Link: University Applicant Portal
Last Date for Application
8 June 2026
This studentship represents an exciting opportunity to contribute to significant advancements in biomedical research through innovative machine learning techniques in a collaborative and interdisciplinary environment.
