Lecturer in Business Analytics and Operational Research Full Time NEW

Location: Leeds – Main Campus

Contract type: Ongoing

Are you an academic with the ambition to contribute to the further development of Operational Research and Business Analytics research and teaching, at Leeds University Business School? Are you passionate about delivering world-leading research and an exceptional student experience in a Russell Group University?

As Lecturer, you will be joining the Analytics, Technology and Operations Department (ATOD) within Leeds University Business School. You will have the opportunity to be a member of the Research Centres operating within the ATOD Department, including the Centre for Decision Research (CDR) and the Technology, Operations and Supply Chain Analysis research centre (TOSCA), as well as other rich research communities in LUBS.  You will carry out research, teaching and management within and contribute to academic leadership in the field of business with specific emphasis on Business Analytics.

This is an exciting opportunity to become a part of a very successful teaching and research team in our growing Business School here at the University of Leeds.

We are seeking individuals who can deliver research-led teaching in a wide range of topics related to Business Analytics and Operational Research, including on our:

• MSc Business Analytics and Decision Sciences
• BSc Business and Intelligent Technologies (newly introduced)

There are opportunities to teach in many areas related to Business Analytics and Operational Research, among which modules in Optimisation for Business, Decision Support Systems and Technologies, Intelligent Technologies for Business, Data Analytics in Business, Visualising and Analysing Data Effectively, Business Analytics and Decision Science, Forecasting and Advanced Business Analytics.

Your application should include:

• A copy of your curriculum vitae.
• Covering letter – we ask that candidates state in a cover letter how they see themselves adding to the teaching and research of the Department including an outline of short- and medium-term research plans and current work in progress.
• Examples of outputs – All applicants should also submit two outputs (ones under submission or at an advanced stage of development) as part of the application process.

What we offer in return

• 26 days holiday plus approx.16 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s 42 days a year!
• Generous pension scheme plus life assurance– the University contributes 14.5% of salary
• Health and Wellbeing: A dedicated Staff Wellbeing Hub hosting staff clubs, events and support services, including discounted staff membership at our state-of-the-art Campus gym, The Edge and a 24/7 Employee Assistance programme.
• Personal Development: Access to courses run by our Organisational Development & Professional Learning team.
• Access to on-site childcare, shopping discounts and travel schemes are also available.

And much more!

To explore the post further or for any queries you may have, please contact:

Professor Antonino Sgalambro
Head of Analytics, Technology and Operations Department
Email: A.Sgalambro@leeds.ac.uk

Dr. Nicky Bown
Departmental Director of Student Education
Analytics, Technology and Operations Department
Email: n.j.bown@lubs.leeds.ac.uk