University of Warwick
About the role
The School of Engineering at the University of Warwick has advertised an Assistant or Associate Professor position in AI-accelerated Mesoscale Materials Modelling, in the Predictive Modelling Cluster. The remit covers mesoscale and continuum methods – for example crystal plasticity, phase-field modelling, discrete dislocation dynamics, and finite element methods – applied to grain boundaries, defects and dislocations and their effects on the mechanical, electrical, thermal or optical properties of materials. We are equally interested in candidates working on structural and engineering materials (e.g. for advanced manufacturing, defence, energy) and on electronic and optical materials. We are particularly interested in AI-accelerated approaches that strengthen mesoscale modelling itself – surrogate models, data-centric engineering, Bayesian uncertainty quantification. The post is on the Research and Teaching pathway, indefinite, with an earliest start date of 1 August 2026.
About the cluster
The Predictive Modelling Cluster comprises four research groups – Statistical Foundations, Multiscale Materials, Quantum Devices, and Connected Systems – and hosts the EPSRC HetSys Centre for Doctoral Training, the Warwick Centre for Predictive Modelling (WCPM), and the MSc in Predictive Modelling and Scientific Computing. The cluster has strong atomistic and quantum-scale activity and is deliberately recruiting at the meso/continuum interface.
How to apply
For full details and to apply, please follow this link: https://warwick-careers.tal.net/vx/appcentre-ext/brand-4/spa-1/candidate/so/pm/1/pl/3/opp/4171-Assistant-or-Associate-Professor-AI-Accelerated-Mesoscale-Materials-Modelling-111587-0526/en-
GB
Closing date: 21 June 2026.
More Information
For informal enquiries, please contact Prof James Kermode (j.r.kermode@warwick.ac.uk).