Lecturer in Analytics and AI for Business
Salary Grade 8 (£48,149 – £57,422 p.a. depending on experience)
This role will be based on the university campus with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working arrangements.
Are you an academic with the ambition to contribute to the further development of Analytics and AI for Business 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?
The University of Leeds is one of the top 75 universities in the world. We have a truly global community, with more than 39,000 students from 170 different countries and over 9,000 staff of 100 different nationalities. Established in 1904, we have a strong tradition of academic excellence, reflected in first-class student education, along with world-leading research that has a real impact around the globe.
As Lecturer, you will be joining the newly formed 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 world-renown Centre for Decision Research, 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 Analytics and AI for Business.
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 Analytics and AI for Business. There are opportunities to teach in many areas related to Analytics and AI for Business, among which: Business Analytics, Optimisation and AI for Business, Applied AI in Business, Evidence based Consultancy, Machine Learning in Practice, Data Analytics in Business, Visualising and Analysing Data Effectively, Business Analytics and Decision Science, Forecasting and Advanced Business Analytics.
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!
•Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.
•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 Department, Technology and Operations Department
Dr Nicky Bown, Departmental Director of Student Education, Analytics, Technology and Operations Department
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