PhD in Quantifying the Extent and Intensity of Marine Heatwaves in a Changing Climate 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 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 on quantifying uncertainty and spatial dependence in tropical forest forecasts to support climate change mitigation , conservation planning, and carbon finance. The project sits within the UNRISK CDT and is supervised by Dr Ben Balmford , Prof Daniel Williamson , and Prof Ben Groom . It focuses on improving statistical and machine-learning methods for forecasting deforestation and regrowth using satellite data, with an emphasis on uncertainty quantific...

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...