Projects in Applied and Computational Mathematics The Maxwell Institute Graduate School PhD programme in Modelling, (applied and numerical ) Analysis and Computation MAC-MIGS 2024+ offers great opportunites for postgraduate research in Applied and Computational Mathematics in Edinburgh. MAC-MIGS 2024+ is a 4-year PhD programme focussed on the formulation, analysis and implementation of state-of-the-art mathematical and computational models. Consult the MAC-MIGS 2024+ web page for details of the programme and its application procedure, as well as a list of possible PhD topics. When submitting your application to the Applied & Computational Mathematics PhD at Edinburgh (see also the School's Postgraduate Research pages), you should indicate which projects (up to two) you are interested in. Other opportunities are available through the Edinburgh Earth, Ecology & Environment NERC DTP (for projects in Geophysical Fluid Dynamics), the Quantum Informatics EPSRC CDT (for projects in Quantum Computing) and the Sensing, Processing, and AI for Defence and Security EPSRC and MoD CDT (for projects in Information Processing). If you are interested in these opportunities, contact possible supervisors who will be able to advise on the best route to secure a PhD place. From September 2019 to September 2023, the Applied and Computational Mathematics group recruited students for the prestigious EPSRC funded Centre for Doctoral Training MAC-MIGS. PhD projects are offered in all research areas represented by our staff. For selected examples of recent PhD projects supervised, please see the links below. Computational Methods PDEs, finite elements, optimisation Data Science Data-driven models, inverse problems, uncertainty quantification, graphs and networks Fluid Dynamics Geophysical and astrophysical fluids, complex fluids, turbulence Materials: Models and Simulation Molecular dynamics, stochastic models, optics Mathematical Biology Stochastic and computational methods applied to biology Nonlinear Dynamics and Asymptotics Dynamical systems, nonlinear waves, asymptotic analysis This article was published on 2025-04-22