I’m always on the look out for strong candidates for Ph.D. projects, either in topics related to my core research themes, or that are suitable for specific advertisements, all of which you can find below.
If you’re interested in proposing your own project (subject to suitable funding) which relate to my core research areas, please do get in touch via email.
Projects can be related to:
- Computational fluid dynamics: I am interested in a number of areas in CFD, but in particular projects related to transition to turbulence that require high-fidelity CFD.
- High-order methods: Most of my research uses high-order methods to obtain highly accurate solutions and make the most of modern hardware. I’m very interested in various aspects of high-order methods, including numerical analysis and practical implementation issues.
- High-order mesh generation: One of the most overlooked areas of high-order simulations is the requirement to generate a valid mesh, which is a prerequisite for any simulation. For complex geometries, high-order mesh generation is a very open problem, and I am interested in techniques we can develop to robustly generate curved meshes.
This funded PhD position will develop novel, high-fidelity methods for computational fluid dynamics problems in aeronautics that require the simulation of rotating parts, with a particular emphasis on the investigation of turbomachinery applications. A common feature in this area is the necessity to model moving features, such as the interior rotor of a jet engine. The successful candidate under this funded PhD studentship will extend existing work to accurately model rotating features using sliding mesh technology, and investigate how these can be applied efficiently in the context of extremely large, parallel simulations. These developments will be performed inside the open-source Nektar++ spectral element framework, and then applied to engineering practice in problems of interest to academically relevant flow problems including various industrial partners, with a particular emphasis on turbomachinery applications.