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Royal Holloway, University of London

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Royal Holloway, University of London

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"Lecturer in AI & Business Analytics (Teaching Focus)"

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Lecturer in AI & Business Analytics (Teaching Focus)

Royal Holloway Business School

As an AACSB accredited Business School, we are driven by social purpose. We are committed to inspiring and empowering students and staff to realise their full potential and to make positive change.

This is an exciting time to join us as we are looking to build on our current successes, our heritage and our strategic location, to become a leading Business School nationally and globally. We offer programmes at the undergraduate and postgraduate levels, both nationally (from our Surrey and Central London campuses) and internationally through our global partnerships with the University of London.

Our research is challenge-led and world leading. The most recent Research Excellence framework (2021) indicated that 82% of our research was 'world-leading or internationally excellent', placing us in the top quartile in terms of outputs in the UK.

The Candidate

RHBS invites applications for the position of Lecturer (Teaching Focus) with expertise in management information systems, with particular emphasis on AI and business analytics. This is an excellent opportunity for you to contribute to practiced-focused teaching in our School, strengthening our capacity to enhance student employability, and bridging our education with industry needs.

You will deliver high-quality, practice-focussed teaching across our undergraduate and postgraduate courses. You will be pivotal in leading the design of new practice-orientated modules on our new Accelerated Degree in central London, creating opportunities for external practitioners from London’s business community to infuse our curriculum with external talks, industry projects and fieldtrips. You will need to excel in supporting learners from diverse backgrounds, maintaining high-contact teaching, delivering regular feedback, while supporting student success in a fast-paced environment.

You do not need to hold a PhD, and may have previous industry experience, but will need to demonstrate excellence in teaching practice, curriculum design and delivery in business applications of AI, analytics, and cloud computing. You will have proven expertise in enhancing student employability skills, while bridging theory with practice through innovative pedagogy. HEA membership is desirable along with professional education accreditations.

We are strongly committed to the development of our staff and provide a supportive environment to enhance teaching, scholarship, and leadership skills. In return, we offer a highly competitive salary and benefits package.

In return we offer a highly competitive rewards and benefits package including:

  • Generous annual leave entitlement
  • Training and Development opportunities
  • Pension Scheme with generous employer contribution
  • Various schemes including Cycle to Work, Season Ticket Loans and help with the cost of Eyesight testing.
  • Free parking

The post is based across our Central London Campus and in Egham, Surrey at the main campus of the University.

For an informal discussion about the post, please contact: Prof Philip Wu at philip.wu@rhul.ac.uk

For queries on the application process the Human Resources Department can be contacted by email at: recruitment@rhul.ac.uk

Please quote the reference: 0226-056

Closing Date: 25 February 2026

Interview Date: TBC

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