PhD studentships with Edinburgh University and Renault Sport Racing

Check out these two funded PhD projects that will be of interest to FS competitors: closing date is 10 December 2020.

Improving the performance of mesh generation for race car geometries (with Renault Sport Racing)

This project will investigate how to improve the overall performance of the “meshing” components of the computational toolchain. The primary focus is on improving the time to solution and the scalability – ultimately, the aim is for the meshing components of the workload to complete in as short a time as possible. Areas for investigation might include offloading work to accelerators, bespoke vectorisation, optimising data layouts and memory footprints, and improving parallel efficiency through better load balancing. AI and Machine Learning techniques could form part of the solution.

Reducing the computational cost of handling meshes of race car geometries (with Renault Sport Racing)

This project will investigate techniques for reducing the impact of storing and handling very large meshes. Approaches to reduce the footprint of meshes may include techniques to only store the difference between two meshes (assuming they are similar to a large extent), or compression techniques that can work on layers of increasing mesh complexity.