PhD in Compound Wind and Rainfall Extremes over Europe and Financial Risk University 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...

PhD opportunity at the University of Leeds in spatio-temporal statistical modelling for extreme rainfall events , climate prediction, and rare-event analysis. This project develops advanced generalised linear/additive mixed models with covariate-dependent, dynamically estimated thresholds to improve prediction of when and where extreme rainfall will occur. The research sits within the UNRISK CDT and connects with work relevant to climate resilience , meteorology , data science , and high-perform...

Fully funded PhD opportunity at Imperial College London in the UK, in collaboration with the University of Reading and the University of Southampton . The project is titled Probabilistic AI for Weather Extremes and focuses on developing probabilistic AI methods to improve weather foundation models and predict rare and extreme weather events. Research themes include artificial intelligence , machine learning , statistical modelling , probabilistic methods , climate science , weather forecasting ,...

PhD opportunity at the University of Exeter in Statistics, Climate Science, Data Science, Meteorology, Environmental Physics, and Mathematical Modelling . This project, supervised by Prof David Stephenson and Dr Matthew Priestley , focuses on understanding uncertainty in risk modelling of European windstorms , with particular attention to the East Atlantic Pattern , extreme wind gusts, climate variability, and history matching / uncertainty quantification in catastrophe models. The research has ...

PhD opportunity at the University of Leeds in the School of Earth & Environment on aerosol radiative forcing uncertainty , climate science , and uncertainty quantification . The project asks how to achieve the maximum feasible reduction in uncertainty in aerosol forcing, using advanced model-observation comparison, perturbed parameter ensembles, and emulators that can generate millions of surrogate models. The research is closely linked to new marine aerosol observations and collaboration with S...