PhD Studentship: EPSRC Industrial Doctoral Landscape Award (IDLA) - Probabilistic Numerics and Inverse Problems University of Cambridge in United Kingdom

Fully funded PhD opportunity in statistics and climate science at The University of Edinburgh , offered through the Edinburgh Earth, Ecology and Environment Engagement (E5) Doctoral Training Partnership . The project is titled Application of large climate datasets in energy security of supply analysis: calibration, uncertainty and extremes . It sits in the School of Mathematics with collaboration across the Schools of Mathematics and Geosciences . The research focuses on developing statistical m...

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...

[Fully funded studentship covering fees, a maintenance stipend of £21,805 p.a. for 2026/27, and a research training and support grant (RTSG). A limited number of studentships are available for international applicants with the home/international fee difference waived; relocation, visa, and health surcharge costs are not covered.] PhD Studentship: Arctic Wintertime Storms in a Changing Climate at the University of East Anglia is a research opportunity focused on polar mesoscale cyclones and polar...

PhD opportunity at the University of Leeds in the School of Earth & Environment with Dr Ruza Ivanovic. This project, “Changing climates: Unlocking the past to improve predictions of the future,” sits at the intersection of climate science, data analysis, data science, mathematical modelling, statistics, and Earth science. The research aims to improve estimates of equilibrium climate sensitivity (ECS) by combining observational records from Earth’s past with advanced uncertainty quantification, m...

PhD opportunity at the University of Exeter in Statistics, Climate Science, Data Science, Meteorology, Environmental Physics, and Mathematical Modelling . This project, supervised by Prof David Stephenson and Dr Matthew Priestley , focuses on understanding uncertainty in risk modelling of European windstorms , with particular attention to the East Atlantic Pattern , extreme wind gusts, climate variability, and history matching / uncertainty quantification in catastrophe models. The research has ...