Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

The DPhil in Computational Discovery is a multidisciplinary programme spanning projects in Advanced Molecular Simulations, Machine Learning and Quantum Computing to develop new tools and methodologies for life sciences discovery.

© John Cairns / Oxford University Images

This innovative course has been developed in close partnership between Oxford University and IBM Research. Each research project has been co-developed by Oxford academics working with IBM scientists. Students will have a named IBM supervisor/s and many opportunities for collaboration with IBM throughout the studentship.

The scientific focus of the programme is at the interface between Physical and Life Sciences. By bringing together advances in data and computing science with large complex sets of experimental data more realistic and predictive computational models can be developed. These new tools and methodologies for computational discovery can drive advances in our understanding of fundamental cellular biology and drug discovery. Projects will span the emerging fields of Advanced Molecular Simulations, Machine Learning and Quantum Computing addressing both fundamental questions in each of these fields as well as at their interfaces.

Students will benefit from the interdisciplinary nature of the course cohort as well as the close interactions with IBM Scientists.

Applicants who are offered places will be provided with a funding package that will include fees at the Home rate, and a stipend at the standard Research Council rate + £2,730 (currently £15,609 pa) for the duration of fee liability (three years). NB Overseas applicants are liable for fees at a different rate, therefore an additional source of funding will be required to cover the full cost of fees.

The list of potential supervisors includes but is not limited to the following


Melanie Weber

Mihai Cucuringu

Xiowen Dong

Patrick Rebeschini

Ingmar Posner

David Dupret

Rafal Bogacz

Huiling Tan

Tim Denison

Phil Fowler

Application Deadline

Open to applications for 2022 entry.  Apply by 12:00 midday UK time on Friday 7 January 2022.

Programme Director

Professor Phil Biggin

Supported By

IBM, EPSRC, Oxford University

Further Information

Project Booklet