At a Glance
- Tasks: Lead AI research and teach cutting-edge topics like Natural Language Processing and Machine Learning.
- Company: Join a top UK university renowned for its AI research and collaborative environment.
- Benefits: Enjoy 30 days holiday, generous pension, and access to world-class facilities.
- Other info: Be part of a diverse team driving impactful research and innovation.
- Why this job: Shape the future of AI while nurturing your career in a supportive community.
- Qualifications: Proven track record in AI research and teaching experience required.
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 Senior Lecturer in AI covering topics including (but not limited to) Natural Language Processing, 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, Audio and Vision, AI for Health and Medical Applications, Robotics, and Security.
The postholder will be expected to expand our dynamic team of internationally recognised AI researchers and link 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 recognised track record of publications in top-tier venues, evidence of 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 PhD 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:
- 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
- Supportive family friendly benefits including an excellent on-site nursery
Additional information:
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 at the end of September/early 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.
Senior Lecturer in Artificial Intelligence in Guildford employer: Esrc IAA University of Surrey
The University of Surrey is an exceptional employer, fostering a vibrant work culture that prioritises innovation and collaboration. Employees benefit from a supportive environment that encourages professional growth and development, alongside the opportunity to contribute to impactful research initiatives. Located in a dynamic academic setting, the University offers unique advantages such as access to cutting-edge resources and a diverse community dedicated to making a difference in education and research.
Contact Details:
Esrc IAA University of Surrey Recruitment Team
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