Fully Funded PhD in Reducing Uncertainty in the Effect of Shipping on Climate Change University of Leeds in United Kingdom

PhD opportunity at University College London in the Department of Geography with Prof Chris Brierley, focused on climate science , machine learning , data science , mathematical modelling , and Earth science . This project asks whether AI-based regional downscaling models can capture hydroclimate changes in the geologic past. You will work with paleoclimate proxy records, uncertainty quantification, climate-model evaluation, and high-resolution simulations from PMIP and NCAR, including experimen...

PhD opportunity at the University of Leeds in the School of Earth & Environment on Greenland ice-sheet stability, climate science, data analysis, data science, mathematical modelling, and palaeoclimate evidence . The project asks whether Greenland may reach a tipping point and how ice-age evidence can improve predictions of its future. It uses the coupled climate–ice sheet model FAMOUS-ice to study past, present, and future Greenland stability, including irreversible retreat, uncertainty in sea-...

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 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 the School of Earth & Environment on innovative data-driven approaches to predicting long-term European wind storm risk . This project sits at the interface of climate science, environmental science, statistics, mathematical modelling, data science, and decision science . It is linked to a new partnership between the University of Leeds and Lloyd’s Banking Group and focuses on real-world problems in estimating and predicting European wind storm risk ...