PhD in Generative Modelling and Machine Learning for Biomedicine at University of Cambridge
The Aliee Lab at the University of Cambridge, based at the Cancer Research UK Cambridge Institute, is seeking a PhD student to work on generative modelling for foundational discovery in biomedicine. The research group focuses on developing advanced machine learning models to represent and reason about complex biological systems, with the aim of making predictions and interventions that can impact disease outcomes. Key research areas include probabilistic generative models, counterfactual reasoning, causal inference, graph neural networks, dynamical systems modelling, and multimodal data integration. The project will contribute to the development of new algorithms that improve the generalizability, interpretability, and causal grounding of generative models, incorporating biological knowledge to enhance predictive power.
The position is fully funded for four years, covering university fees and providing a stipend starting at £22,113 per year. Both UK and international students are eligible to apply. Applicants should have a strong background in machine learning, programming, and a degree in Computer Science, Mathematics, or a related computational field. Prior experience in biology or medicine is not required, but a keen interest in interdisciplinary research is essential. Candidates with research experience from a Master's program or laboratory work are encouraged to apply.
To apply, candidates should use the University of Cambridge Applicant Portal, selecting an April 2026 start date, and quote reference SW47896. The application deadline is 15th December 2025, with interviews expected in January 2026. The University of Cambridge is committed to equality, diversity, and inclusion, and welcomes applications from all backgrounds.
