Professor Peter Jimack
- Position: Executive Dean
- Areas of expertise: scientific computing; numerical algorithms; computational fluid dynamics; finite element methods; partial differential equations; adaptive algorithms; parallel algorithms; multigrid methods.
- Email: P.K.Jimack@leeds.ac.uk
- Phone: +44(0)113 343 2002
- Location: 3.29a Engineering Building
- Website: Personal website
Peter is currently Dean of the Faculty of Engineering (since 2010) and Professor of Scientific Computing (since 2003). He joint the University in 1990 as a Lecturer in Mathematical Software and has undertaken a wide range of roles during his time at the University, including School Director of Research and Faculty Pro-Dean for Research. He has supervised 25 graduating PhD students and received research funding from a wide range of sources including EPSRC, industry, EU and charities.
- Dean, Faculty of Engineering
- Director, EPSRC Centre for Doctoral Training (CDT) in Fluid Dynamics
Peter's general research area is Scientific Computation and he is particularly interested in the design, analysis, implementation and application of numerical algorithms for the reliable and efficient computational solution of partial differential equations (PDEs). The main components in this work include: unstructured finite element methods and algorithms in 2 and 3 space dimensions; analysis and implementation of adaptive methods in space and time; error estimation and control; development of efficient sparse linear algebra and preconditioning techniques; design and analysis of parallel linear algebra and finite element algorithms; multigrid algorithms; applications in computational fluid dynamics (CFD), including both compressible and incompressible flows, Newtonian and non-Newtonian flows and the solution of free boundary problems, and; industrial applications.
- SIAM (Society of Industrial and Applied Mathematics)
In session 2017-2018 Peter is module leader for COMP5990M, COMP5991M and COMP5992M, which are Professional/Skills Develpment modules taken by students studying in the EPRSC Centre for Doctoral Training in Fluid Dynamics
Research groups and institutes
- Computational Science and Engineering
Postgraduate research opportunities
We welcome enquiries from motivated and qualified applicants from all around the world who are interested in PhD study.
Projects currently available:
- Adaptive multilevel modelling of phase-change problems solidification and crystalization
- Adaptive multilevel modelling of two-phase flow problems