PhD in Generative Modelling for Biomedical Discovery

RFCSR; Cambridge; On-site; GBP 18,000 - 21,000; Full time

Benefits offered by this job

Tuition fees covered

Doctoral training

Job summary

The University of Cambridge invites applications for a fully funded PhD studentship focused on generative modelling for foundational discovery in biomedicine. This research opportunity blends machine learning, computational modelling, and biomedical science to advance understanding of complex biological systems and accelerate scientific discovery.

The successful candidate will work within a collaborative research environment at the intersection of artificial intelligence and biomedical research,

Qualifications

• Strong foundation in machine learning, statistical modelling, or computational methods.
• Programming experience with Python and data science tools.
• Ability to work independently and in multidisciplinary teams.

Responsibilities

• Design novel generative modelling approaches for biomedical data.
• Implement machine learning models and assess their scientific value.
• Contribute to high-impact research outputs and publications.

Skills

Machine learning

Statistical modelling

Computational methods

Python

Analytical thinking

Communication skills

Education

Bachelor's or equivalent in CS/Math/Physics/Engineering/Computational biology

Master's degree with substantial research

Tools

Python

Job description

The University of Cambridge invites applications for a fully funded PhD studentship focused on generative modelling for foundational discovery in biomedicine. This research opportunity blends machine learning, computational modelling, and biomedical science to advance understanding of complex biological systems and accelerate scientific discovery.

The successful candidate will work within a collaborative research environment at the intersection of artificial intelligence and biomedical research,