Lecturer in Artificial Intelligence

School of Computing & Engineering
£40,266 - £45,147 per annum
Permanent
1.0 FTE

The Department of Computer Science is seeking to recruit an experienced Lecturer in Artificial Intelligence. The person appointed will have an undergraduate degree in Computing, Computer Science, Mathematics or a relevant area. A PhD in a relevant field is essential.

You will have experience teaching a broad range of computing subjects, including artificial intelligence. In addition, you will be able to demonstrate specialist expertise in one or more of the following areas:

- Machine learning and deep learning
- Generative AI and natural language processing
- Computer vision
- Knowledge representation and reasoning, and knowledge graphs
- Automated planning
- Robotics and autonomous systems

A familiarity with the industrial IT environment is desirable, as is experience of supervising PhD students and soliciting research funding, though all necessary training will be provided in the role.

You will have strong communication, interpersonal and organisational skills, and demonstrate a commitment to your own professional development, as well as the development of others. You will be supportive of equal opportunities, able to work effectively as part of a team, and keen to contribute to innovative approaches in both research and teaching.

The School of Computing and Engineering promotes research development and provides a research-supportive environment. Collectively, the School has secured over £25M in external funding from UKRI and Horizon 2020.

Research in the Department of Computer Science covers an international portfolio and is headed by world-leading researchers. The Department has a track record in industry-led research, with a growing portfolio of AI applications addressing challenges across local, regional and national industry partners. The Department includes four research centres: the Centre for Autonomous and Intelligent Systems (CAIS – which this post will be associated with), the Centre for Cyber Security (CCS), the Centre for Sustainable Computing (CSC) and the Centre for Audio and Psychoacoustic Engineering.

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, Top 100 Employer, Athena SWAN Bronze Award holder and Race Equality Charter Bronze Award holder.

For further information, please contact Dr George Bargiannis via email: g.bargiannis@hud.ac.uk.  

For further details about this post and to make an application, please visit: http://hud.ac/v7k.

Closing date: 9th April 2026.

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