PhD in Computational Science and Engineering

Research within the Computational Science and Engineering theme embeds fundamental developments in algorithms and cutting edge computational techniques within an end-user driven framework. Our areas of expertise includes fast and efficient numerical algorithms for partial differential equations (PDEs), computer graphics, as well as scientific and information visualization. Members of the theme also contribute to the School’s research into Applied Computing in Biology, Medicine and Health. In PDEs we have 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. In the field of computer graphics we study optimisation problems in in domains including crowd animation, mechanical mechanisms, and urban environments. We approach these problems with optimisation techniques ranging from deep learning to integer programming.

For most postgraduate research programs, a first-class or good upper second-class undergraduate degree (or equivalent) is often expected. Additionally, candidates may need to hold a Master's degree or an equivalent professional qualification.