Salary Grade 7 (£40,266 - £45,147 per annum) Basis Full time Job category/type Academic Date posted 08/10/2025 Job reference R7974 Permanent, 1.0 FTE We are seeking to appoint a 1.0 FTE Lecturer in Artificial Intelligence. The School of Computing & Engineering is a research-intensive environment where academics developing tomorrow’s technology teach the next generation of computing and engineering professionals. Building on our legacy of producing award-winning graduates in Artificial Intelligence (AI), computing, computer games development, and cyber security, we have a strategy for expansion that requires the very best academic staff. We’ll support your growth in developing and applying your new ideas. We’ll help you develop as an academic. We’ll provide opportunities for you to grow your career and become the best version of yourself. As Lecturer in Artificial Intelligence, you’ll have an emerging record of research and/or scholarship with experience of working with diverse teams, and you’ll be able to translate this into a teaching experience that is unparalleled in the university sector. You’ll want to accelerate your personal and career growth by immersing yourself in a stimulating environment. You’ll be looking to develop your skills and experience working alongside university students and you’ll demonstrate your drive to achieve excellence. You’ll want a supportive environment that expects you to succeed, and you’ll have a clear vision of a rewarding and fulfilling career. A PhD in a relevant area is essential for this position. This post may be required to support our overseas collaborative teaching provision, and it is essential that candidates are able to travel abroad and work away from their UK base, for up to six-weeks, typically once or twice per year. We are particularly interested in candidates who are active in two or more of the following areas: machine learning data analytics computer vision natural language processing semantic web knowledge representation and reasoning formal logic discrete mathematics automated planning. You’ll be fully committed to equal opportunities and demonstrate an inquisitive attitude towards novel and engaging approaches to research and teaching. The University is deeply committed to equality and diversity for all its students and staff. We seek to be diverse and inclusive, supporting individuals and groups to fulfil their potential and nurture a sense of belonging. We strive to be an accessible, inclusive employer, removing barriers for all. Find out more about our approach to Equality, Diversity and Inclusion, including our commitments and accreditations as a Disability Confident Employer, Stonewall Gold Award holder and Top 100 Employer, Athena SWAN Bronze Award holder and Race Equality Charter Bronze Award holder. For further information, please contact George Bargiannis via email: g.bargiannis@hud.ac.uk If you are a current student at the University, you are welcome to apply for part-time roles of 16 hours or less per week, unless you are a part-time postgraduate student, in which case you can also apply for full time roles, subject to any visa requirements. For more information, please download the recruitment pack.