Research Fellow in Applied AI, Physics-Informed Machine Learning and Offshore Energy Transition University of Glasgow in United Kingdom

Fully Funded DPhil in AI for the Environment at the University of Oxford through the Intelligent Earth programme. The doctoral opportunity focuses on using artificial intelligence to tackle environmental challenges. Students will develop research at the intersection of AI and environmental science, contributing to work connected with the Intelligent Earth initiative and its goal of understanding and addressing major environmental problems. The programme offers an interdisciplinary research envir...

Heriot-Watt University is offering a fully funded PhD project on multimodal generative AI for uncertainty-aware 3D geological modelling . The research will develop AI methods that combine diverse geological and geophysical information, including geological maps, cross-sections, well logs, geophysical surveys and geological reports. The doctoral researcher will investigate how multimodal generative models can integrate these heterogeneous data sources to construct and assess three-dimensional geo...

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...

PhD opportunities are open for 2027 entry at the Centre for Human-Inspired Artificial Intelligence (CHIA), University of Cambridge . The post highlights research in human-inspired AI and a specific project area in machine learning causal inference , with applications to climate impacts and society . The opportunity is connected to Cambridge faculty across multiple schools and to collaborative work with Prof. Michael Alvarez at the Linde Center for Science, Society, and Policy (LCSSP), Caltech . ...

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...