PhD in Data-Driven Approaches to Predicting Long-Term European Wind Storm Risk University of Leeds 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 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 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 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...