Postdoc in Statistical Data Science and Machine Learning for Climate Change Research University of Bern in Switzerland

PhD position in Homogenization of Lightning Climatologies at the University of Innsbruck in Austria . The project focuses on using meteorological predictors and machine learning methods to reconstruct lightning climatologies and isolate true atmospheric variability from system-induced distortions. The research integrates ground-based and space-based observations and is carried out in close collaboration with the long-term operator of lightning detection networks in Austria and Germany. This PhD ...

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 in quantifying the likelihood of persistent extreme weather events in a changing climate . This project sits in Mathematics and Statistics and is focused on applied statistics , climate science , data analysis , data science , machine learning , mathematical modelling , and meteorology . The research aims to estimate the probability of persistent extremes such as heatwaves, cold snaps, and prolonged rainy or stormy seasons, especially under climate cha...

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...