PhD in Tracking Uncertainties from Future Storms to Hazards and Decisions University of Exeter in United Kingdom

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 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 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 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 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...