Lecturer​/Senior Lecturer in Information Systems​/Operations Management​/Operational Research

Organisation/Company QUEENS UNIVERSITY BELFAST Research Field Educational sciences Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Final date to receive applications 2 Mar 2026 - 00:00 (UTC) Country United Kingdom Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?

No

About the job:

Queen's Business School (QBS) at Queen's University Belfast is currently seeking to appoint an exceptional candidate to the post of Lecturer / Senior Lecturer in Information Systems / Operations Management / Operational Research. The appointed candidate will have the opportunity to shape and strengthen the future direction of QBS from both a research and teaching perspective. Our supportive research environment enables attendance at international conferences, facilitates the pursuit of high-quality publications and fosters meaningful engagement with non-academic stakeholders.

The appointed candidate will also interact and work with colleagues whose research is internationally renowned for excellence and societal impact.

About the person:

• A completed PhD (or very close to completion for Lecturer) in Information Systems / Operations Management / Operational Research or cognate disciplines.
• An established programme of research activity and dissemination of original, high-quality research in Information Systems / Operations Management / Operational Research in line with accepted norms for Lecturer / Senior Lecturer.
• A sustained track record of high-quality peer reviewed Information Systems / Operations Management / Operational Research publications as appropriate to norms for Lecturer / Senior Lecturer.
• Evidence of the ability and willingness to teach (for Lecturer) / significant experience of teaching and assessing (for Senior Lecturer) modules at university level in one or more of the following areas:
  Business analytics, Artificial intelligence, Machine learning, Cybersecurity, Data mining, Business applications of emerging technologies, Design thinking with digital technologies, and Blockchain technologies.
• Demonstrable ability to advance the teaching and research goals of QBS.

To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information document on our website.