Fully Funded PhD in Forest Vulnerability to Climate Extremes, Satellite Data Analysis and Statistical Modelling University of Exeter in United Kingdom

PhD opportunity at the University of Leeds on Prioritising Conservation Planning Amid Climate Uncertainty . This project sits within the UNRISK CDT and focuses on how to prioritise habitats for conservation when decisions must account for biodiversity loss , climate change , and uncertainty in ecological and climate data. The research combines ecology , climate science , data science , mathematical modelling , and multi-criteria decision analysis (MCDA) to build an adaptive framework for conserv...

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...

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 on climate uncertainty, compound events, and water-system impacts in Eastern England . This project sits within the UNRISK CDT and focuses on how compound climate events and High Impact Low Likelihood (HILL) events interact with natural and human water systems. The research combines climate science , hydrology , environmental engineering , data analysis , data science , mathematical modelling , and decision making under uncertainty to improve climate ri...

PhD opening at the University of Michigan SEAS (Gillespie Lab) for a brand-new project on AI-integrated ecosystem monitoring at scale in the Anthropocene. The research sits at the intersection of computer science, ecology, environmental science, data science, and remote sensing , with a strong emphasis on cross-cutting AI methods and environmental applications. The project spans Michigan, the Neotropics, and California , and includes both field-based and computational work. Candidates with inter...