Nanzhe Wang

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 geological models while representing uncertainty. The work sits at the intersection of geoscience, geological modelling, machine learning, generative AI, geophysical data analysis and subsurface systems. The project is jointly supervised by Assistant Professor Nanzhe Wang and Professor Andreas Busch. It is supported by EPSRC and industry partner Oxus Metals AI, which will contribute datasets, industry case studies and specialist geological expertise. This collaboration provides an applied research environment connected to geoenergy, subsurface applications and critical-minerals challenges. The PhD is based at Heriot-Watt University in Edinburgh, UK, and is suitable for candidates seeking interdisciplinary training across Earth science and computational methods.