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.
Professor Charlotte Deane elected Fellow of the Royal Society
Professor Charlotte Deane MBE, Professor of Structural Bioinformatics in Oxford’s Department of Statistics, has today been announced among the new Fellows of the Royal Society.
OpenBind releases first open dataset and AI model for drug discovery
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Oxford statisticians take part in PKU–Oxford conference on quantitative finance and data science
Researchers from the University of Oxford’s Department of Statistics were among those taking part in a joint conference with Peking University in April, bringing together academics working across quantitative finance, data science and related areas.