Oliver Ratmann

PhD opportunity in Probabilistic AI for Weather Extremes at Imperial College London , within the EPSRC-funded Maths for Future Climate CDT spanning Imperial, Reading and Southampton. The project sits at the intersection of probabilistic AI , weather foundation models , extreme events , weather forecasting , statistics , mathematics , climate AI , and global health . The research aims to develop and refine probabilistic methods for adapting foundation weather models to rare and extreme events, with potential applications to infrastructure risk, displacement risk, and climate impacts on health across Africa. Supervision is by Oliver Ratmann and Elizaveta Semenova at Imperial, with links to the Machine Learning & Global Health network and researchers across Statistics and AI. This is a fully funded PhD . The post does not mention tuition, stipend amount, or specific eligibility criteria beyond being a PhD candidate, but it is clearly aimed at applicants with strong interest in AI/machine learning, probabilistic modelling, climate science, and health-related applications. Application deadlines: 8 November 2026, 10 January 2027, and 7 March 2027. How to apply: Read the project details and apply via the linked opportunity page. If you are interested, prepare your application materials before the relevant deadline.