Assistant or Associate Professor; AI-Accelerated Mesoscale Materials Modelling

Informal Queries

For informal queries about the role, please contact Professor James Kermode, Professor and Research Cluster Leader for Predictive Modelling, at .

We invite 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 directly relevant 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 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 especially value 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.

You will have a PhD in a relevant discipline.

For an Assistant Professor appointment, you must be able to demonstrate the capability to establish an independent research activity, which has the ambition and potential to become internationally leading. If appointed, you will be given a reduced teaching and administration load for a probationary period (usually five years) to establish your research group. Successful completion of probation will coincide with promotion to a permanent Associate Professor position.

For an Associate Professor appointment, you will have already established a high‑quality independent research activity and been awarded substantial research funding from external sources, while having experience in successful delivery of teaching activities.

At either level, you will initiate, develop and deliver high quality research, publish top‑tier journal papers and demonstrate the potential for impact from your research. You will also engage with higher education pedagogy and be willing to develop novel teaching methods, embracing changes in teaching technology and expectations.

• An attractive pension scheme.
• 30 days holiday plus University Christmas closure.
• Generous parental/adoption leave policy.
• Onsite childcare facilities.
• Excellent learning and development opportunities.
• Flexible working arrangements.
• Living Wage employer.

Our commitment to equality, diversity and inclusion is detailed in the University’s commitments page.