Back to search results

Associate Professor in Artificial Intelligence for Business

University of Bradford - School of Management

Location: Bradford
Salary: £53,348 to £60,022 per annum
Hours: Full Time
Contract Type: Permanent
Placed On: 12th October 2021
Closes: 11th November 2021
Job Ref: HR0114253

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 Artificial Intelligence (AI) field for the School and University. As a result, the School is committed to supporting this strategy with the appointment of an Assistant Professor or an Associate Professor in Artificial Intelligence for Business 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 continue to be research active with grant capture activity and ambition. The candidate will be expected to lead and contribute to the development and direction of the AI and Business area focusing on developing research as well as teaching materials in terms of Business Data Analytics, Applied Machine Learning and Big Data Strategy and any other similar topics at School and University level. Associate Professor candidates will need to evidence programme leadership experience. Ideally, the candidate must have technical skillsets such as data analytics, modelling and simulation and have prior knowledge of using relevant software packages such as SAS and open source tools such as R and Python for teaching within a business and management context.  The post holder will be expected to contribute to digital learning teaching, working closely with established partners and contributing towards the School's leading FT ranked distance learning MBA programme. The successful candidate will also need to evidence business and community engagement activities with local and international business/organisations.

Informal enquiries may be made to Professor Sankar Sivarajah, Head of School of Management,   U.Sivarajah@bradford.ac.uk and Professor Amir Sharif, Dean of Faculty of Management, Law and Social Sciences, A.M.Sharif@bradford.ac.uk

Confronting Inequality : Celebrating Diversity

The University of Bradford strives to be an equal opportunities employer and welcomes applications from all sections of the community.

We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:

Subject Area(s):

Location(s):

Job tools
 
 
 
More jobs from University of Bradford

Show all jobs for this employer …

More jobs like this
Join in and follow us

Browser Upgrade Recommended

jobs.ac.uk has been optimised for the latest browsers.

For the best user experience, we recommend viewing jobs.ac.uk on one of the following:

Google Chrome Firefox Microsoft Edge