Fully Funded PhD in Multimodal Generative AI for Uncertainty-Aware 3D Geological Modelling 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...

Funded PhD opportunity at Cranfield University in the Faculty of Engineering and Applied Science, focused on hidden acid sulfate soils , soil science , predictive mapping , GIS , machine learning , and environmental restoration . The project will investigate how reliably existing soil information can predict acid sulfate soil occurrence across the UK, and whether land management history improves predictions of acidification hazards. Acid sulfate soils can generate sulfuric acid and release metal...

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 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...

The University of Glasgow is offering a funded 3.5-year PhD studentship through the ExaGEO DLA on the next generation of AI-driven earth observation . The doctoral research will focus on transforming UK land cover classification using artificial intelligence and earth observation approaches. The project is positioned to support improved understanding and monitoring of environmental change, with the broader aim of helping address global environmental crises. This is a multidisciplinary research o...