For informal queries about the role, please contact Professor James Kermode, Professor and Research Cluster Leader for Predictive Modelling, at J.R.Kermode@warwick.ac.uk.
About The Role
We invite applications for an Assistant or Associate Professor position in AI-accelerated Mesoscale Materials Modelling within 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. 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, are of particular interest. 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). Candidates who can leverage or contribute to the School’s collaborative, translational, and industrially engaged research environment will be highly regarded.
Applicants 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.
About The Department
The School of Engineering is a multidisciplinary department that aspires to conduct research to internationally leading standards. It hosts the Predictive Modelling Cluster, comprising four research groups – Statistical Foundations, Multiscale Materials, Quantum Devices, and Connected Systems – with strengths in machine‑learned interatomic potentials, uncertainty quantification, physics‑informed AI and diffusion models. It also operates the EPSRC HetSys Centre for Doctoral Training and hosts active industry partnerships.
About You
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 that has the ambition and potential to become internationally leading. If appointed, you will be on a probationary period (usually five years) with a reduced teaching and administration load, after which promotion to a permanent Associate Professor position will follow. For an Associate Professor appointment you must have already established a high‑quality independent research activity and have been awarded substantial external research funding 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.
What We Offer
* An attractive pension scheme.
* 30 days holiday plus University Christmas closure.
* Generous parental/adoption leave policy.
* Onsite childcare facilities.
* Excellent learning and development opportunities.
We recognise the importance of a healthy work/life balance and offer access to flexible working arrangements. We are proud to be a Living Wage employer.
Right to work in the UK
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