Research in my group lies at the intersection of Computational Fluid Dynamics (CFD) and machine learning. We develop and use these tools to address global challenges, such as clean energy provision. Specific examples of ongoing projects include 1) accurate prediction of nucleate boiling for nuclear fission reactors; 2) magnetohydrodynamics for nuclear fusion blanket design; 3) multi-fidelity modelling of natural convection; 4) generative methods in machine learning for turbulence closure; 5) data-driven RANS modelling. For further info, see our research.

If you're interested in joining the group, get in touch! The department has regular internal scholarships to support outstanding PhD applicants to cover international/home fees and stipend. To be considered for one of these, get in touch, enclosing your CV. Additionally, specific PhD opportunities with existing funding will be advertised (typically on find a PhD). Current PostDoc opportunities will be advertised on jobs.ac.uk. We also frequently host visiting students.