Professor in Artificial Intelligence (Computer Science) in Guildford

Professor in Artificial Intelligence (Computer Science) in Guildford

Guildford Full-Time 63000 - 77000 £ / year (est.) No working from home possible
University of Surrey

At a Glance

  • Tasks: Lead AI research, focusing on innovative applications and collaboration across disciplines.
  • Company: University of Surrey, a top UK institution renowned for AI research.
  • Benefits: Generous leave, pension, world-class facilities, and family-friendly perks.
  • Other info: Join a diverse community committed to impactful research and inclusive opportunities.
  • Why this job: Shape the future of AI while mentoring the next generation of innovators.
  • Qualifications: Proven track record in AI research and publications, with industry experience preferred.

The predicted salary is between 63000 - 77000 £ per year.

The Computer Science Research Centre (CSRC) within the School of Computer Science and Electronic Engineering is seeking to recruit a Professor in AI covering topics including (but not limited to) Large Machine Learning Models, Neurosymbolic AI, Trustworthy Machine Learning, and Applications of AI/ML in Automated Reasoning, Security or Software/Systems Development.

This post is aligned to the Nature Inspired Computing and Engineering (NICE) group within CSRC and is part of a strategic investment in AI.

Our current research in AI focuses on solving foundational and real-world problems in areas such as Natural Language Processing, Optimisation, AI for Health and Medical Applications, and Security.

The postholder will be expected to expand our dynamic team of internationally recognised AI researchers and linking their work across the University including NICE; Surrey Centre for Cybersecurity (SCCS); Centre for Vision, Speech and Signal Processing (CVSSP); the 5G/6G Innovation Centre; the Surrey Institute for People-Centred AI Institute (PAI) and the Surrey Space Institute (SSI) Thus, the position provides an opportunity to drive a strategic research direction and align colleagues within CSRC and beyond.

The candidate must have wide knowledge of the AI field, with an internationally leading track record of publications in top-tier venues, significant research income, ideally with experience of working with industry and/or government.

Surrey has an established international reputation in AI research, 1st in the UK for computer vision and top 5 for AI, computer vision, machine learning and natural language processing (CSRankings. org) and were 7th in the UK for REF2021 outputs in Computer Science research.

Computer Science and CVSSP are at the core of PAI, established in 2021 as a pan-University initiative which brings together leading AI research with discipline expertise across health, social, behavioural and engineering sciences, business, law and the creative arts to shape future AI for the benefit of people and society.

PAI leads a portfolio of over 100m in grant awards including major research activities in creative industries and healthcare, and two doctoral training programmes with funding for over 100 Ph D researchers: the UKRI AI Centre for Doctoral Training in AI for Digital Media Inclusion and the Leverhulme Trust Doctoral Training Network in AI-Enabled Digital Accessibility.

AI features in both our UG and MSc curricula as well as training within the CDTs.

The candidate would be expected to contribute to these as well as undertake other teaching duties in undergraduate and postgraduate programmes.

The postholder will benefit from the support of colleagues across the University to develop their careers.

The University’s welcoming community recognises the need to nurture its staff and to help them build a flourishing career.

They will become a principal fellow of the Surrey Institute for People-Centred AI supporting the growth of collaborative cross-disciplinary research and training as Surrey delivers its future vision.

What we can offer In addition to salary, we offer a generous annual leave entitlement of 30 days of holiday plus seven University closure days and eight bank holidays, a generous pension, access to world-class leisure facilities on campus, a range of travel schemes, and supportive family friendly benefits including an excellent on-site nursery.

Additional information To apply, please submit your CV and via our website.

You will also be asked some questions to help us understand your suitability for the position.

For informal enquiries, please contact the Director of the Computer Science Research Centre, Professor Brijesh Dongol, b. dongol@surrey. ac. uk Interviews are planned to take place in October 2026.

Our strategy and mission Surrey has launched its Vision 2041 strategy that produces graduates and research outcomes that enrich lives, transform society and create change for a better world.

The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all.

We place great value on diversity and are seeking to increase the diversity within our community.

Therefore, we particularly encourage applications from under-represented groups, such as people from Black, Asian and minority ethnic groups and people with disabilities.

Professor in Artificial Intelligence (Computer Science) in Guildford employer: University of Surrey

The University of Surrey is an exceptional employer, fostering a vibrant and inclusive work culture that prioritises innovation and collaboration. With a commitment to employee development and a focus on impactful research, staff have access to numerous growth opportunities and resources to advance their careers. Located in a dynamic academic environment, the university not only supports meaningful contributions to cutting-edge research but also encourages a sense of community among its diverse workforce.

University of Surrey

Contact Details:

University of Surrey Recruitment Team

StudySmarter Expert Advice🤫

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We think you need these skills to ace Professor in Artificial Intelligence (Computer Science) in Guildford

Large Machine Learning Models
Neurosymbolic AI
Trustworthy Machine Learning
Natural Language Processing
Optimisation
AI for Health and Medical Applications
Security in AI/ML

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