At a Glance
- Tasks: Conduct cutting-edge research and teach innovative courses in materials modelling.
- Company: Join the School of Engineering at the University of Warwick.
- Benefits: Enjoy 30 days holiday, a great pension scheme, and on-site childcare.
- Other info: Dynamic research environment with excellent career development opportunities.
- Why this job: Make a real impact in AI-accelerated materials research while shaping future engineers.
- Qualifications: PhD required; teaching experience and research funding skills are essential.
The predicted salary is between 55000 - 65000 £ per year.
The position is on the Research and Teaching Pathway of the School of Engineering, University of Warwick. The successful applicant will pursue research that advances mesoscale modelling of materials in direct relevance to UK industrial strategy and the AI‑for‑Science agenda, with a focus on AI‑accelerated approaches that strengthen mesoscale modelling itself (surrogate models, data‑centric engineering, Bayesian UQ, addressing model mis‑specification).
Responsibilities
- Conduct fundamental research in mesoscale modelling of materials, generating high‑impact publications in top‑tier journals.
- Develop and deliver high‑quality teaching at undergraduate and postgraduate level, including courses such as Finite Element Analysis for structural mechanics.
- Engage with higher‑education pedagogy and develop novel teaching methods, embracing changes in technology and expectations.
- Leverage and contribute to the research environment of the Predictive Modelling Cluster and the University’s Research Technology Platforms, including the Scientific Computing RTP.
- Interfere with experimental groups in Quantum Devices, Multiscale Materials, and wider electronic & power‑electronics communities within and beyond the School of Engineering.
Qualifications
- PhD in a relevant discipline.
- For an Assistant Professor appointment: demonstrate capability to establish an independent research activity with international impact.
- For an Associate Professor appointment: demonstrate a high‑quality independent research activity, substantial external funding, and successful teaching experience.
- Ability to secure external research funding and experience in delivering teaching activities at postgraduate level.
Benefits
- Attractive pension scheme.
- 30 days holiday plus University Christmas closure.
- Generous parental/adoption leave policy.
- On‑site childcare facilities.
- Excellent learning and development opportunities.
Application Notes
- Closing deadline: Sunday, 21 June 2026, 11:55 pm (UK time).
- Right to work in the UK is required; sponsorship is not offered.
Assistant or Associate Professor (AI-Accelerated Mesoscale Materials Modelling) (111587-0526) in Coventry employer: University of Warwick
The University of Warwick is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration in the field of engineering. With a strong emphasis on research and teaching excellence, employees benefit from generous holiday allowances, a robust pension scheme, and extensive professional development opportunities. Located in a dynamic academic environment, this role provides a unique chance to contribute to cutting-edge research while engaging with a diverse community of scholars and industry partners.
StudySmarter Expert Advice🤫
We think this is how you could land Assistant or Associate Professor (AI-Accelerated Mesoscale Materials Modelling) (111587-0526) in Coventry
✨Tip Number 1
Network like a pro! Reach out to colleagues, attend conferences, and engage with the academic community. Building connections can lead to opportunities that aren’t advertised.
✨Tip Number 2
Showcase your research! Create a personal website or an online portfolio where you can highlight your publications, teaching experience, and any innovative projects. This gives potential employers a clear view of your expertise.
✨Tip Number 3
Prepare for interviews by practising common questions and presenting your research in a way that aligns with the university's goals. Tailor your responses to show how you can contribute to their AI-accelerated initiatives.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Assistant or Associate Professor (AI-Accelerated Mesoscale Materials Modelling) (111587-0526) in Coventry
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in AI-accelerated mesoscale materials modelling. We want to see how your skills align with our research focus, so don’t hold back on showcasing relevant projects!
Showcase Your Research Impact:When detailing your research, emphasise the impact of your work. We’re looking for high-quality publications and contributions to the field, so make it clear how your research aligns with the UK industrial strategy and the AI-for-Science agenda.
Highlight Teaching Experience:Since teaching is a big part of this role, be sure to include any relevant teaching experience. We love innovative teaching methods, so if you’ve developed any novel approaches or engaged with higher-education pedagogy, let us know!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way to ensure we receive all your materials correctly. Plus, it gives you a chance to explore more about us and what we do at StudySmarter.
How to prepare for a job interview at University of Warwick
✨Know Your Research Inside Out
Make sure you can discuss your research in detail, especially how it relates to AI-accelerated mesoscale materials modelling. Be prepared to explain your methodologies and the impact of your work on the UK industrial strategy.
✨Showcase Your Teaching Philosophy
Be ready to talk about your teaching methods and how you engage students at both undergraduate and postgraduate levels. Highlight any innovative approaches you've used, especially those that incorporate technology or new pedagogical strategies.
✨Prepare for Funding Discussions
Since securing external funding is crucial, come equipped with examples of past funding successes or ideas for future proposals. This shows your proactive approach and understanding of the funding landscape.
✨Engage with the Community
Demonstrate your willingness to collaborate with experimental groups and other departments. Discuss any previous interdisciplinary projects and how you plan to contribute to the Predictive Modelling Cluster and beyond.
