Assistant Or Associate Professor; Ai-Accelerated Mesoscale Materials Modelling

ASSISTANT OR ASSOCIATE PROFESSOR (AI-ACCELERATED MESOSCALE MATERIALS MODELLING)

The School of Engineering invites applications for an Assistant or Associate Professor position in AI-accelerated Mesoscale Materials Modelling in the Predictive Modelling research cluster within the School of Engineering, University of Warwick. The post is on the Research and Teaching Pathway.

The successful applicant will pursue research that makes fundamental contributions to mesoscale modelling of materials while addressing real-world challenges of direct relevance to UK industrial strategy and the AI-for-Science agenda. We are particularly interested in AI-accelerated approaches that strengthen mesoscale modelling itself, for example surrogate models, data-centric engineering, and Bayesian techniques for uncertainty quantification and addressing model mis-specification, rather than AI/ML applied without a mesoscale modelling base.

Applicants should demonstrate how their work complements the existing atomistic and quantum-scale strengths of the Predictive Modelling Cluster and how it can connect to experimental groups in the Quantum Devices, Multiscale Materials, and wider electronic and power-electronics communities within and beyond the School of Engineering.

Consideration will also be given to alignment with the University’s Research Technology Platforms, the Scientific Computing RTP, and the Warwick Centre for Predictive Modelling (WCPM). We are especially interested in candidates whose work can leverage or contribute to the School’s collaborative, translational, and industrially engaged research environment.

Candidates will be expected to teach to the highest quality on undergraduate and postgraduate programmes offered by the School of Engineering, including Finite Element Analysis for structural mechanics.