The University of Oxford is delighted to launch a new Centre for Doctoral Training (CDT) in Fundamentals of AI. The goal of the CDT is to undertake foundational developments in fundamentals of AI that have potential to impact within four humane themes; health and medical science; food security and sustainable agriculture; climate change and clean energy; and government innovation in the era of artificial intelligence.

The CDT will recruit 20 students per year and we have full-funding available for home and overseas candidates. Admissions are now open for entry to the programme in September 2025. Please see our website for further information.

The feature image has been created with Canva Dream Lab AI Image Generator, with the gradient made by the department in Adobe Illustrator.

Oxford Statistics at the forefront of AI-driven drug discovery

10 Jun 2025

Professor Charlotte Deane from the Department of Statistics has been announced as a senior principal investigator on a £8 million government-backed consortium that will create the world's largest dataset for AI-driven drug discovery.

PoseBusters: AI-based docking methods fail to generate physically valid poses or generalise to novel sequences

28 Apr 2025

Predicting how small molecules (or “ligands”) bind to proteins and other macromolecules like DNA and RNA is an important part of computer-aided drug discovery. Oxford Protein Informatics Group DPhil Student, Martin Buttenschoen, Professor Charlotte Deane and Professor Garrett M. Morris recently examined how well deep learning-based methods can dock a ligand into a protein pocket.

New CDT in Fundamentals of AI

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