Professor of Digital Twins

About the Institute

DERI is Queen Mary’s first University Research Institute, created as part of the university’s ambitious Strategy 2030. DERI is dedicated to ground-breaking research in digital and data science, offering an outstanding research environment, including dedicated high performance computing infrastructure, and leading the university’s participation in The Alan Turing Institute.

This is an exciting time to join DERI as it continues to expand, and you will have the opportunity to conduct world-class research whilst also feeding into, and helping to steer the growth, and evolution of the Institute, and AI, digital, and data science research at Queen Mary.

About the Role

We seek to appoint an exceptional individual as Professor of Digital Twins. In this role, you will be a key member of the DERI leadership team, contributing to development, as well as inspiring, and leading on expanding research in this space to deliver outstanding, interdisciplinary research impact. We consider Digital Twins in broad terms, involving advanced simulation, monitoring, and predictive analytics capabilities including the use of AI.  Digital twins have application to diverse areas including healthcare, physiotherapy and fitness, manufacturing, smart cities, transportation, aerospace and defense, agriculture, robotics, earth systems, architecture and design, creative industries, and other areas. 

This role is research-intensive and one of four key strategic academic appointments. These roles are unique in that they are dedicated to research and have minimal, if any, teaching responsibilities. Each post comes with support to facilitate the growth of a research group, and the forging of collaborations, enabling the post-holder to seamlessly establish themselves at DERI. 

About You

You will have a PhD in a relevant field or an equivalent qualification or experience, with extensive research expertise in AI and data science at a national and international level, including publications in internationally renowned journals. You will be a natural collaborator, inspirational to peers, with the drive to turn ideas into tangible outputs, and with a track-record in securing, and delivering AI/Data Science driven research grants and initiatives.

How to Apply

Please complete the application form via the Portal and include:

A 2-page outline of your vision for the role, and research plans for the next three years

Benefits

We offer competitive salaries, access to a generous pension scheme, 30 days’ leave per annum (pro-rata for part-time/fixed-term), a season ticket loan scheme and access to a comprehensive range of personal and professional development opportunities. In addition, we offer a range of work life balance and family friendly, inclusive employment policies, flexible working arrangements, and campus facilities including an on-site nursery at the Mile End campus.

Queen Mary’s commitment to our diverse and inclusive community is embedded in our appointments processes. Reasonable adjustments will be made at each stage of the recruitment process for any candidate with a disability. We are open to considering applications from candidates wishing to work flexibly.

We especially encourage applications from candidates who are likely to be underrepresented in the field, including people from Black, Asian and minority ethnic backgrounds, disabled people, LGBTQI individuals, and women.

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