PhD in AI-Enabled Geoenergy and Subsurface Systems at Heriot-Watt University Heriot-Watt University in United Kingdom

PhD Studentship Opportunity: Machine Learning for Groundwater Pollution at Heriot-Watt University, Edinburgh, UK. This fully funded PhD is offered through the Iapetus DTP NERC Doctoral Training Partnership (DTP) Studentship Competition 2026–27. The project title is Reconstructing Groundwater Pollution Release Histories under Geological Uncertainty Using Machine Learning and Adaptive Monitoring . The research combines several high-impact areas: groundwater flow and contaminant transport modelling...

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is inviting applications for a fully funded Postdoctoral Researcher position in AI for Weather Forecasting within the Computing and Mathematical Sciences Division. The project is supervised by Prof. Souhaib Ben Taieb and is part of a collaborative research program between MBZUAI and the AI for Climate initiative at the University of Chicago . The work is supported by the International Affairs Office at the Presidential Court of the...

PhD opportunity with Imago (SDR UK Imagery Data Service) for a project on flood mapping , earth observation , satellite imagery , and real-time flood prediction . The project aims to develop a national-scale flood mapping system that integrates satellite-derived embeddings with hydrodynamic simulations to support prediction of flooding anywhere in the UK. The successful candidate will be based at Newcastle University and co-supervised by Maria Valasia Peppa from the Imago team. This is a PhD ope...

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 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...