PhD Studentship - Development of Advanced Porous Media Models for High-Temperature Gas-Cooled Reactors

This project is suitable for Engineering or Physics graduates with a strong background in fluid mechanics and heat transfer, preferably with experience in computational modelling. It will involve the use of open-source computational fluid dynamics codes, with turbulence modelling and porous media approaches. It will also require the development of good programming skills (ideally C/C++ and Python/MATLAB or similar), good communication skills, the ability to work independent and engagement with industrial partners.
To apply please contact the main supervisor, Dr Dean Wilson - . Please include details of your current level of study, academic background and any relevant experience and include a paragraph about your motivation to study this PhD project.

High-Temperature Gas-Cooled Reactors (HTGRs) are one of the major Generation IV reactor designs, offering enhanced safety features, high thermal efficiency, and strong potential for industrial heat applications. The UK government's Advanced Modular Reactor (AMR) programme has recently identified HTGRs as the preferred design for future advanced nuclear deployment in the UK, with an aim to deliver a demonstration reactor by the early 2030s.
One prominent HTGR configuration is the pebble-bed reactor, in which spherical fuel elements (pebbles) are densely packed within the core, creating a complex and heterogeneous thermal-fluid environment. Accurately predicting flow and heat transfer in these systems is critical for safety, performance, and design assessments, yet direct high-fidelity simulations, such as Large Eddy Simulation (LES) or Direct Numerical Simulation will remain computationally prohibitive for at least several decades. Instead, porous media approximations provide a practical alternative by treating the pebble bed as an effective continuum, replacing the explicit representation of individual pebbles with averaged flow properties that account for bulk flow resistance, heat transfer, and turbulence. While this significantly reduces computational cost and enables large-scale reactor simulations, current porous approaches, based on Reynolds-averaged Navier-Stokes models, rely on empirical correlations and assumptions
that may not fully capture the high-temperature, complex thermal-fluid interactions within the pebble-bed.

This 3.5 year PhD is fully funded, home students and students with settled status are eligible to apply. The successful candidate will receive a tax free stipend set at the UKRI rate (£19,237 for 2024/25) and tuition fees will be paid. We expect the stipend to increase each year.