Scientific Computation Research Group

School of Computing, University of Leeds

Research within the Scientific Computation Group focuses on the development, analysis, implementation and application of fast, efficient and reliable numerical algorithms for the computational solution of partial differential equations (PDEs).

The group, which is based within the School of Computing, has a long-standing international reputation for work on unstructured mesh adaption and mesh quality. Furthermore, in collaboration with both industrial and academic partners, this research has resulted in computational techniques, and software, that has been widely applied: in areas such as combustion, lubrication, atmospheric dispersion, river and harbour flows, and many more.

For example, fundamental work on moving finite elements, adaptive meshes and the computational simulation of free-flowing surface phenomena, in collaboration with groups in Engineering, has commercially-important applications in printing on textiles using ink-jet technology and the spin-coating of non-smooth surfaces.

A long-standing collaboration with Shell Global Solutions has led to the development of state-of-the-art software for commercially-important lubrication problems. This research programme has included the development of efficient solvers, parallel computing strategies and the use of Grid technologies.

The Computational PDEs Unit is a research and consultancy unit within the Scientific Computation Group providing PDE problem solving expertise and software to industry and to academic researchers alike.

We often have opportunities within the group, especially for highly motivated graduates with a good first degree (or Masters) in a mathematical, computational or engineering discipline, wishing to undertake studies towards a PhD. Please contact one of us for further information!