Postdoctoral Research Scientist in Probabilistic Storylines of Climate Extremes University of Reading in United Kingdom

The University of Reading is seeking a postdoctoral research scientist to work in its Department of Meteorology on the AUSPICE project. The research focuses on diagnosing predictable atmospheric circulation signals in climate models and observations, assessing their implications for climate predictions and projections, and developing corrections for model errors. The post-holder will develop a robust statistical framework and use causal networks to investigate relationships within the climate sy...

[Fully funded ARIES studentship covering Home fees, maintenance stipend of £21,805 p.a. for 2026-27, and a £2,500 research training and support grant. Limited number of studentships available for international applicants, with the difference between Home and International fees waived by the registering university.] PhD studentship at the University of Essex on integrating plankton imaging techniques to better understand marine ecosystem structure and function. This project is part of the ARIES d...

PhD opportunity at the University of Edinburgh in Enhanced predictability of European weather extremes via machine learning . This project asks whether European heatwaves, floods, and other extreme weather events can be predicted further ahead than current forecasting systems allow. The research combines deep learning , atmospheric dynamics , and climate science to study ocean-atmosphere signals in the Pacific and Atlantic, including persistent patterns such as Rossby waves and blocking. The PhD...

[Funding covers fees plus a stipend per annum for 2026/7; stipend amount stated as £21,805.] University of Exeter offers a PhD studentship in Physics-Aware Graph Neural Networks for Robust Short-Term Visibility Forecasting at the Penryn Campus in the United Kingdom. This project addresses the challenge of forecasting low-visibility events for safe and efficient transport, especially aviation. The research will develop physics-aware spatio-temporal graph neural networks (STGNNs) for 0–6 hour visi...

New PhD opportunity in the University of Birmingham group of Francis Pope , in collaboration with the Met Office and Christian Offen (University of Birmingham School of Mathematics). The project is titled AI-Enabled Prediction of UK Pollen Season Magnitude for Next-Generation Forecasting . It is a CASE studentship with the Met Office and includes additional funding plus the chance to work directly with Met Office scientists and spend time embedded with the organisation. This PhD sits at the inte...