Lecturer in Business Analytics job with UNIVERSITY OF BRADFORD

With over 50 years of academic excellence and having been recently named the UK’s University of the Year for Social Inclusion 2020 by The Times and Sunday Times, the University of Bradford has continued to grow its international reputation and innovative course provision. With almost 10,000 students, the University is pioneering in developing new course subjects, reflecting and anticipating the needs of employers, students, and of society as a whole.

The School of Management is a leader in business education, research and knowledge transfer with more than 50 years’ experience of pushing the boundaries, regionally, nationally and internationally. We are part of an elite group of business schools worldwide possessing triple-crown accreditation from AACSB, AMBA and EQUIS. We perform well in the Financial Times (FT) rankings and continue to build on our research strengths.

The Business Analytics, Circular Economy and Supply Chain (BACES) Research Centre is currently taking a leading role in shaping and driving the Business Analytics (AI) field for the School and University. As a result, the School is committed to supporting this strategy with the appointment of a Lecturer in Business Analytics to contribute to research and teaching capability in this field.  The successful candidate will join the BACES Research Centre, which is a key area of future growth and investment for the School having successfully launched a MSc in Applied Artificial Intelligence and Data Analytics programme in September 2020 which received funding by Office for Students (OfS).

The ideal candidate must possess a Doctorate in a relevant field and will be expected to have a research track record at 3* or 4* CABS journal level and ambition of pursuing of research grant income. The candidate will be expected to lead and contribute to the development and direction of the Business Analytics field. The candidate will possess quantitative analytical skills as well as have knowledge expertise covering key areas such as Business Analytics, Business Forecasting and Simulation, Artificial Intelligence, Machine Learning and Big Data Strategy for Decision Making.  Specifically, the candidate must have technical skillsets such as data analytics, modelling and simulation and have knowledge of using softwares/ cloud-based applications such as Amazon Web Services, SAP, SAS and open source tools (R and Python) for teaching within a business and management context. 

The School is committed to providing support and development to all staff through mentoring by experienced academic colleagues and a clear development process.

Informal enquiries may be made to Professor Sankar Sivarajah, Head of School of Management,   [email protected] and Professor Vishanth Weerakkody, Dean of Faculty of Management, Law and Social Sciences, [email protected] .