PhD in Statistical Models for Extreme European Hail Events with Challenging Data Structures University College London in United Kingdom

PhD opportunity at the University of Leeds in the School of Mathematics (part of EPS) on uncertainty in recent global warming trends and related risks of extreme events using a global km-scale model . The project investigates the recent increase in Earth’s energy imbalance, record global mean temperatures, and the rising frequency and intensity of regional extreme events. It asks whether high-resolution climate simulations can improve understanding of climate variability and change, and whether ...

PhD opportunity at the University of Leeds in AI / machine learning for climate science , with a focus on mapping how future climate uncertainties and weather/climate impacts may affect Africa . The project sits in the School of Earth & Environment and is part of the UNRISK CDT . It combines climate science , meteorology , data science , data analysis , applied statistics , and mathematical modelling to develop machine-learning approaches that downscale global climate model information to local,...

PhD opportunity at the University of Exeter in Mathematics and Statistics , focused on tracking uncertainties from future storms to hazards and decisions . This project sits within the UNRISK CDT and investigates how uncertainty in climate-model projections of extratropical cyclones translates into uncertainty in the wind and precipitation hazards that matter for society. The research combines climate science , meteorology , applied statistics , data science , mathematical modelling , uncertaint...

PhD opportunity at the University of Exeter in Mathematics and Statistics focused on marine heatwaves , climate science , statistics , data science , and mathematical modelling . The project investigates how extreme sea temperatures vary across space and depth in the northwest European Shelf seas, and how the probability and intensity of marine heatwaves may change under future climate scenarios. The research combines extreme value theory , generalised additive models , machine learning, and hig...

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...