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Job summary
Women's Engineering Society in Warwick seeks an Assistant or Associate Professor in AI-accelerated Mesoscale Materials Modelling. This role involves pioneering research relevant to the UK's industrial strategy and the AI-for-Science agenda. The successful candidate will teach courses such as Finite Element Analysis and will work closely with various research clusters. Ideal applicants will have a strong background in AI-driven modelling techniques and a commitment to high-quality education.
Qualifications
Demonstrated experience in AI-accelerated mesoscale modelling.
Expertise in data-centric engineering and uncertainty quantification.
Ability to teach undergraduate and postgraduate programmes.
Responsibilities
Contribute to research in mesoscale modelling of materials.
Engage in high-quality teaching for engineering programmes.
Collaborate within experimental and theoretical research groups.
Job description
Women's Engineering Society in Warwick seeks an Assistant or Associate Professor in AI-accelerated Mesoscale Materials Modelling. This role involves pioneering research relevant to the UK's industrial strategy and the AI-for-Science agenda. The successful candidate will teach courses such as Finite Element Analysis and will work closely with various research clusters. Ideal applicants will have a strong background in AI-driven modelling techniques and a commitment to high-quality education.