Lecturer/Senior Lecturer in Artificial Intelligence and Business Analytics

Salary:

Grade J: £43,482 - £50,253; or

Grade K: £50,253- £58,225; or

Grade L: £59,966 - £67,468, per annum (depending on experience) + a market supplement

The role

The University of Bristol Business School is seeking to appoint an outstanding Lecturer or Senior Lecturer in Artificial Intelligence and Business Analytics on a full-time and open-ended basis. This is a key appointment within the Business School, and we are looking to recruit ambitious academics whose research will help build and strengthen the School’s growing expertise in Artificial Intelligence and Business Analytics. Appointments will be made at Lecturer or Senior Lecturer level according to the successful candidate's experience, achievements and academic standing.

The University of Bristol is one of the UK's leading research-intensive universities, ranked 51st globally in the QS World University Rankings 2026. The University of Bristol Business School is one of the UK's largest and most successful business schools, bringing together a vibrant community of academics, professional services staff, doctoral researchers and students. The School has a strong commitment to producing high quality, engaged research, with and increasing emphasis on challenge-led interdisciplinary research. In 2026, the School will relocate to the University’s new Temple Quarter Enterprise Campus, joining colleagues in Engineering, Computer Science, Bristol Innovations and the Centre for Innovation and Entrepreneurship. Successful candidates will be based in the Technology and Operations Group, a vibrant and supportive academic community with an international reputation for research excellence, outstanding education and strong engagement with industry, policy makers and other external stakeholders

What will you be doing?

You will develop (Lecturer) or lead (Senior Lecturer) an ambitious programme of research that advances business and management scholarship through Artificial Intelligence and Business Analytics. You will publish high-quality research, engage with industry, policy makers and other external stakeholders, and contribute to (Lecturer) or lead (Senior Lecturer) the development of collaborative research initiatives and externally funded research.

You will deliver inspiring and innovative teaching at undergraduate, postgraduate or executive education levels across Artificial Intelligence and Business Analytics, and contribute to (Lecturer) or lead (Senior Lecturer) the design and development of teaching programmes. As we continue to expand our interdisciplinary programmes, experience of designing curricula and teaching collaboratively with colleagues from other disciplines would be an advantage.

You should apply if

You have expertise in Artificial Intelligence and Business Analytics, with research interests that complement and enhance the School's growing expertise in this area. Your research combines methodological rigour with practical relevance, using data-driven, computational, empirical and/or experimental approaches to advance scholarship in Artificial Intelligence and Business Analytics while addressing important business and societal challenges.

For Lecturer appointments, you should demonstrate the potential to develop an internationally recognised research profile, together with a growing record of high-quality publications and a strong pipeline of research, including published, forthcoming and planned work.

For Senior Lecturer appointments, you should have an internationally recognised research profile, a strong publication record, a robust pipeline of high-quality research, and experience of securing external research funding, mentoring colleagues and contributing to academic leadership.

We particularly welcome applicants working in areas such as AI-driven decision making, intelligent business processes and automation, predictive analytics (forecasting), AI for operations and supply chains, data-driven strategy, generative AI in organisations, and human-centred AI for business.

Additional information

For informal queries please contact: Professor L. Alberto Franco,

Available documents

• ACAD108649_L_Job_Description_V1.pdf
• ACAD108649_SL__Job_Description_V1.pdf