Machine Learning, Climate Impact Assessment, Biological Systems University of Leeds in United Kingdom

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 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 Earth & Environment on aerosol radiative forcing uncertainty , climate science , and uncertainty quantification . The project asks how to achieve the maximum feasible reduction in uncertainty in aerosol forcing, using advanced model-observation comparison, perturbed parameter ensembles, and emulators that can generate millions of surrogate models. The research is closely linked to new marine aerosol observations and collaboration with S...

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...

PhD opportunity at University College London in the Institute for Risk and Disaster Reduction: UNBURNT: UNcertainty from wildfire hazard to BUilt-environment Response, adaptatioN and insurabiliTy . This project sits within the UNRISK CDT and focuses on wildfire hazard, urban climate science, built-environment response, adaptation, insurability, and uncertainty quantification. The research will combine probabilistic wildfire hazard data, urban microclimate modelling, building-by-building fire spr...