PhD in Computational Science

ReNU+ programme. This PhD project aims to develop physics-informed surrogate models to support the design and optimisation of deep geothermal energy systems under subsurface uncertainty. Focusing initially on closed-loop deep borehole heat exchangers and later extending to fully coupled open- and closed-loop systems, the project aims to integrate thermal, hydraulic and mechanical processes within heterogeneous reservoirs. By embedding governing equations and boundary conditions directly into machine-learning models, the project aims to enable efficient exploration of high-dimensional parameter spaces without sacrificing physical realism. The goal is to improve uncertainty quantification, risk reduction and assessment of low-carbon geothermal resources, supporting sustainable energy innovation./nLocation: Newcastle/nSupervisors: Mohamed Rouainia; Mark Ireland/nSponsor: EPSRC/nStudentship code: ReNU26_2/nProgramme code: 8208F