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Lecturer / Senior Lecturer in Artificial Intelligence
Job summary
A leading UK university in Manchester is seeking a Lecturer/Senior Lecturer in Artificial Intelligence to contribute to the Department of Social Statistics. The ideal candidate should have a strong track record in AI research and a proven ability to secure research funding. This permanent, full-time role offers excellent benefits such as a market-leading pension scheme and flexible working arrangements.
Benefits
Qualifications
- Strong academic record with published contributions.
- Ability to apply for external research funding.
- Expertise in Agentic AI, Large Language Models, or social sciences.
Responsibilities
- Teach undergraduate and postgraduate courses.
- Conduct and publish high-quality research.
- Engage in departmental and university service activities.
Skills
Education
The University of Manchester
Manchester, Greater Manchester, M13 9PL
Lecturer: £47,389 - £58,225 / Senior Lecturer: £59,966 - £71,566
Permanent
Full time
NEW
The Department of Social Statistics at The University of Manchester seeks applications for a permanent, full-time Lecturer / Senior Lecturer in Artificial Intelligence. The Department is particularly interested in candidates who are forging an international reputation in the intersection of Agentic AI, Large Language Models (LLMs), or Foundational Models, and the social sciences. Applicants must demonstrate that they have a strong academic record of published research, development of toolkits or frameworks, and/or other recognised contributions to society-focused artificial intelligence. Commensurate with experience, applicants should also have a clear and viable strategy for applying for external research funding, as and where appropriate.
- Fantastic market leading Pension scheme
- Excellent employee health and wellbeing services including an Employee Assistance Programme
- Exceptional starting annual leave entitlement, plus bank holidays
- Additional paid closure over the Christmas period
- Local and national discounts at a range of major retailers
As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.
Our University is positive about flexible working you can find out more here. Hybrid working arrangements may be considered.
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.
Any recruitment enquiries from recruitment agencies should be directed to People.Recruitment@manchester.ac.uk.
Any CV's submitted by a recruitment agency will be considered a gift.
Please note this role is not eligible for sponsorship under the Skilled Worker route of the Points Based System. Candidates will need to be able to demonstrate their right to work in the UK in order to be eligible to take up the post.
Name: Todd Hartman
Email: todd.hartman@manchester.ac.uk
Email: People.recruitment@manchester.ac.uk
https://jobseekersupport.jobtrain.co.uk/support/home
This vacancy will close for applications at midnight on the closing date.
Please see the link below for the Further Particulars document which contains the person specification criteria.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.