Associate Professor/Senior Lecturer in Artificial Intelligence (ATR1730) in University of East Anglia

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School of Computing Sciences

Salary will be £58,225 per annum, with an annual increment up to £67,468 per annum

Indefinite

Academic Teaching and Research (ATR)

26 Nov 2025

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Associate Professor/Senior Lecturer in Artificial Intelligence (ATR1730)

About the Role:

Faculty of Science
School of Computing Sciences

Associate Professor/Senior Lecturer in Artificial Intelligence
Ref: ATR1730

Salary on appointment will be £58,225 per annum, with an annual increment up to £67,468 per annum.

The School of Computing Sciences is looking to appoint an Associate Professor/Senior Lecturer in Artificial Intelligence (AI) on our Academic Teaching and Research (ATR) pathway. This is an opportunity to join a growing team of researchers in Data Science and AI, at the interface of a very active Science Faculty. Experience in research that helps us to expand our collaborations across Science and beyond will be beneficial. In particular, there are exciting opportunities to collaborate with researchers in our multi-disciplinary Health (https://www.uea.ac.uk/health), world-leading Climate themes (https://www.uea.ac.uk/climate), or with the Norwich Research Park (https://www.norwichresearchpark.com/).

You will be involved in research and innovation, and in the development and delivery of teaching. We are particularly interested in candidates that will be able to contribute to expanding our research and teaching portfolio in AI, with a focus in data science, machine learning, image analysis, natural language processing (NLP), Large Language Models (LLMs) or generative AI. You will contribute to advancing research that translates AI innovations into impact and to developing and delivering innovative interdisciplinary teaching at the interface of computing and AI.

You will be expected to have a very good recent track record of attracting research funding as a Principal Investigator from government or industry in areas preferably linked to AI, Machine Learning or related domains and have a strong portfolio of recent research publications as corresponding author in prestigious international journals (e.g. IEEE/ACM). It is also desirable that you have an extensive network of national and international collaborators from academia, and industry.

A PhD (or equivalent) in AI or other related subjects with proven experience of high-quality undergraduate and postgraduate teaching and module development relevant to the subject is essential. This could include core topics such as programming, AI and machine learning, deep learning, data science, database management, Natural Language Processing (NLP), Large Language Models (LLMs), Deep Learning, Explainable AI, Computer Vision, Knowledge Representation and reasoning, Generative AI for data synthesis and augmentation, Data Engineering, Big Data Analytics, Cloud Computing, Secure and Federated Learning or Statistical Learning and uncertainty quantification.

Experience of course development and the use of a range of both innovative and traditional pedagogical practices is essential. Experience of PhD supervision to completion is also essential.

This full-time post is available from 16 March 2026 on an indefinite basis.

UEA offers a variety of flexible working options and although this role is advertised on a full-time basis, we consider applications from individuals who would prefer a flexible working pattern including annualised hours, compressed working hours, and hybrid working. Details of preferred hours should be stated in the personal statement and will be discussed further at interview.

Benefits include:

44 days annual leave inclusive of Bank Holidays and University Customary days (pro rata for part-time).
Family and Work-life balance policies including hybrid working and considerable maternity, paternity, shared parental leave and adoption leave.
Generous pension scheme with life cover for dependants, plus incapacity cover.
Health and Wellbeing: discounted access to Sportspark facilities, relaxation rooms, 320 acres of rolling parkland, wellbeing walks, Wellbeing Ambassador network, on-campus medical centre including NHS Dentist, Occupational Health and a 24/7 Employee Assistance Programme.
Campus Facilities: Sportspark, library, nursery, supermarket, post office, bars and catering outlets.
Exclusive shopping discounts to help cut the cost of household bills, childcare salary sacrifice scheme, Cycle to Work scheme and public transport discounts.
Personal Development: unlimited access to LinkedIn Learning courses, specialist advice and training from our Organisational Development and Professional Learning Team.

Closing date: 26 November 2025

The University holds an Athena Swan Silver Institutional Award in recognition of our advancement towards gender equality.

Further Information

For further information, including the Job Description and Person Specification, please see the attached Candidate Brochure.

For an informal discussion about the post please contact Beatriz de la Iglesia via [email protected]

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