This fully funded PhD opportunity at Heriot-Watt University, offered through the Iapetus Doctoral Training Partnership, focuses on the integration of artificial intelligence and geoscience for the advancement of geothermal energy systems. The project, titled 'Intelligent Geothermal Energy Development: AI-Enhanced Modelling and Decision-Making Under Uncertainty,' aims to develop innovative AI-driven frameworks for modelling, exploration, and management of geothermal reservoirs. The research combines scientific machine learning, reinforcement learning, surrogate reservoir modelling, and uncertainty quantification to optimize geothermal reservoir management and exploration strategies. The interdisciplinary supervisory team includes experts from Heriot-Watt University, Durham University, and Queen Mary University of London, covering AI, subsurface engineering, heat and mass transfer, and environmental science. The student will receive comprehensive training in AI, machine learning, numerical simulation, and geoscience, with opportunities for field trips, conference participation, and engagement with industry partners. The project supports the UK Geothermal Strategy and AI sector objectives, with broader applications in subsurface technologies such as carbon storage and mineral exploration. Funding covers tuition, stipend, and research support for 3.5 years. UK home students should apply by January 5th, while international applicants must contact the primary supervisor by December 8th due to limited places. Applicants should have a strong background in a relevant discipline and a keen interest in interdisciplinary research. For more details and to apply, visit the provided links or contact Dr. Nanzhe Wang for informal enquiries.