Assistant or Associate Professor (AI-Accelerated Mesoscale Materials Modelling) (111587-0526)

Informal Queries

• 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.

Flexible Working

• We will consider applications for employment on a part-time or other flexible working basis (e.g. job share), despite the position being advertised as full-time.

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 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.

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 as an Assistant Professor, you will be appointed for a probationary period (usually five years) during which you will be given a reduced teaching and administration load to enable you 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 have 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.

For details on the experience and skills required, please refer to the job description attached as a PDF below.

The School of Engineering is a multidisciplinary department that aspires to conduct research to internationally leading standards. The School has recently established Research Clusters, launched in the Summer of 2025. This post aligns to the Predictive Modelling Cluster, which comprises four research groups – Statistical Foundations, Multiscale Materials, Quantum Devices, and Connected Systems – with strengths including machine-learned interatomic potentials, uncertainty quantification, physics-informed AI and diffusion models. The Cluster hosts the EPSRC HetSys Centre for Doctoral Training, the Warwick Centre for Predictive Modelling (WCPM), and active industry partnerships including GSK, Johnson Matthey, AWE-NST, EDF and more. The Cluster is open to broadening its activities towards the mesoscale and continuum, and to appointments that are across traditional discipline boundaries.

Warwick operates Research Technology Platforms (RTPs) which enable access to high-end facilities at cross-department level. Academics in Engineering use these on a regular basis with the Scientific Computing and various characterisation-related RTPs (Electron Microscopy, Spectroscopy, X-Ray Computed Tomography, X-Ray Diffraction, X-Ray Photoemission Spectroscopy, Warwick Centre for Ultrafast Spectroscopy) frequently used. Applicants may wish to give consideration as to how their research links to such facilities.

The School of Engineering leads various undergraduate and taught Masters courses and has > 1,600 students on taught courses with an annual Year 1 undergraduate intake of c. 480 students. Students on our undergraduate programmes follow a common programme of study in Year 1. After this, most students choose to join specialised courses. The Predictive Modelling Cluster delivers the MSc in Predictive Modelling and Scientific Computing. The School holds an Athena Swan Gold award, recognising its sustained commitment to gender equality, inclusion and supportive working practices. Applicants should specify how they can contribute to teaching in their application, giving consideration to both our undergraduate and taught postgraduate programmes.

We are a world-leading research-intensive university founded in 1965. We are ranked 74th in the world and 9th in the UK.* Additionally, 92% of our research is rated world-leading or internationally excellent.**

Find out more about us at warwick.ac.uk/about/.

* World University Ranking 2026, Complete University Guide 2026

** Research Excellence Framework 2021

CLOSING DEADLINE: Sunday 21 June 2026 at 11:55pm (UK Time)

To apply, please click APPLY below and submit your application by the closing deadline.

You will be asked to attach a CV and a cover letter.

• Your cover letter should (a) state whether you are applying for Assistant or Associate Professor, (b) detail how you meet each of the essential criteria found in the Job Description, (c) outline your research vision and plans for grant capture over the next five years (max. 2 pages), and (d) include a statement demonstrating your teaching expertise and interests (max. 1 page).
• Your CV should include your full publications list.

Attachments other than those requested should not be provided, and applications submitted without the required documents may not be progressed.

• Interview Date: To be confirmed
• Start Date: To be confirmed

Applications must be submitted by the closing deadline -- you will not be able to submit an application form even if you opened it before the stated deadline. Only applications submitted through our Careers Portal will be considered.

You are welcome to include any careers breaks you may have taken (e.g. parental/caring/long-term sick leave).

Please note that if you do not evidence the essential criteria, the hiring panel may not be able to shortlist your application. For guidance on how to format a cover letter, see here.

We provide a comprehensive range of benefits, including:

• 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. For more information, see here.

We are proud to be a Living Wage employer.