Fully Funded PhD in Probabilistic AI for Weather Extremes at Imperial College London Imperial College London in United Kingdom

PhD opportunity at the University of Leeds in Computing Rare Climate Event Probabilities Using Stochastic Modelling and Advanced Sampling Methods . This project sits in the School of Mathematics and focuses on applied mathematics , applied statistics , climate science , and data analysis/data science . The research aims to compute probabilities of rare extreme climate events, especially heatwaves, using stochastic differential equations (SDEs), Monte Carlo and importance sampling methods, dimens...

🚨 Two fully funded PhD opportunities are available at the University of Edinburgh through the E5 Doctoral Training Partnership , starting September 2027 . The projects sit at the intersection of Statistics , Artificial Intelligence , Climate Science , GeoSciences , and Mathematical Sciences . Project 1 focuses on stochastic generation of realistic UK rainfall extremes via generative AI , combining generative AI and extreme value theory to simulate rare rainfall events and improve understanding o...

Arnab Bhattacharyya at the University of Warwick is searching for PhD students to join research on foundational questions in AI and machine learning. This is a PhD opening in Computer Science with strong relevance to Artificial Intelligence, Machine Learning, Statistics, and Mathematics. The post points to Warwick’s PhD application page for the research area and notes that the first-round deadline is 30 October 2026. No funding details, eligibility specifics, or language-test waivers are mention...

PhD opportunity at University College London in the Institute for Risk and Disaster Reduction on Compound Wind and Rainfall Extremes over Europe: understanding uncertainties from climate to financial risk . This project sits at the intersection of climate science , statistics , data science , machine learning , mathematical modelling , and applied statistics . It investigates how compound weather extremes such as winter windstorms coinciding with heavy rainfall create financial losses, and how u...

PhD opportunity at the University of Exeter in Mathematics and Statistics on designing ensembles for efficient climate model emulation and uncertainty quantification . This project sits within the UNRISK CDT and focuses on climate science, applied statistics, data science, machine learning, mathematical modelling, and uncertainty quantification. The research aims to build statistical emulators for climate models, using methods such as Gaussian processes and sequential experimental design to redu...