At a Glance
- Tasks: Conduct groundbreaking research in AI-accelerated mesoscale materials modelling and teach engineering students.
- Company: Join the prestigious University of Warwick's School of Engineering.
- Benefits: Engage in a collaborative environment with opportunities for research and teaching excellence.
- Other info: Be part of a dynamic research cluster with excellent career development prospects.
- Why this job: Make a real-world impact in materials science while shaping the next generation of engineers.
- Qualifications: PhD in relevant field and strong background in mesoscale modelling and AI techniques.
The predicted salary is between 55000 - 65000 € per year.
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.
ASSISTANT OR ASSOCIATE PROFESSOR (AI-ACCELERATED MESOSCALE MATERIALS MODELLING) employer: Women's Engineering Society
The University of Warwick is an exceptional employer, offering a vibrant and collaborative work culture that fosters innovation and research excellence in the field of engineering. With a strong commitment to employee development, faculty members benefit from numerous growth opportunities, including access to cutting-edge research facilities and engagement with industry partners. Located in a dynamic academic environment, this role not only allows for impactful contributions to AI-accelerated materials modelling but also positions you within a community dedicated to addressing real-world challenges through interdisciplinary collaboration.
Contact Detail:
Women's Engineering Society Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land ASSISTANT OR ASSOCIATE PROFESSOR (AI-ACCELERATED MESOSCALE MATERIALS MODELLING)
✨Tip Number 1
Network like a pro! Reach out to current faculty members or alumni from the University of Warwick. A friendly chat can give you insights into the department and might even lead to a recommendation.
✨Tip Number 2
Showcase your research! Prepare a presentation that highlights your work in AI-accelerated mesoscale materials modelling. This will not only demonstrate your expertise but also your passion for the field.
✨Tip Number 3
Engage with the community! Attend relevant conferences or workshops where you can meet potential colleagues and collaborators. It’s a great way to get your name out there and learn about the latest trends in your area.
✨Tip Number 4
Apply through our website! We want to see your application, so make sure you submit it directly on our platform. It’s the best way to ensure your materials reach the right people quickly.
We think you need these skills to ace ASSISTANT OR ASSOCIATE PROFESSOR (AI-ACCELERATED MESOSCALE MATERIALS MODELLING)
Some tips for your application 🫡
Show Your Passion for Research:When writing your application, let your enthusiasm for AI-accelerated mesoscale materials modelling shine through. We want to see how your research can tackle real-world challenges and contribute to the UK industrial strategy. Make it personal and relatable!
Connect the Dots:Be sure to highlight how your work complements the existing strengths of our Predictive Modelling Cluster. We’re looking for candidates who can bridge the gap between theory and practice, so make those connections clear in your application.
Tailor Your Teaching Experience:Since teaching is a big part of this role, share specific examples of your teaching experience, especially in areas like Finite Element Analysis. We want to know how you engage students and ensure they grasp complex concepts.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the easiest way for us to keep track of your application and ensures you don’t miss any important details. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Women's Engineering Society
✨Know Your Research Inside Out
Make sure you can discuss your research in AI-accelerated mesoscale materials modelling with confidence. Be prepared to explain how your work complements existing strengths in the Predictive Modelling Cluster and its relevance to real-world challenges.
✨Connect with the Community
Familiarise yourself with the Quantum Devices, Multiscale Materials, and wider electronic and power-electronics communities. Show how your research can connect with these groups and contribute to collaborative projects within the School of Engineering.
✨Prepare for Teaching Questions
Since teaching is a key part of this role, be ready to discuss your teaching philosophy and methods. Think about how you would approach teaching Finite Element Analysis and be prepared to share examples of your teaching experiences or strategies.
✨Align with Institutional Goals
Research the University’s Research Technology Platforms and the Warwick Centre for Predictive Modelling. Be ready to articulate how your work aligns with their goals and how you can contribute to the School's collaborative and industrially engaged research environment.
