Lecturer in Business Analytics in Southampton Business School

Decision Analytics & Risk

Location:  Highfield Campus
Salary:   £30,395 to £48,677 Pro rata per annum (Level 4 to Level 5)
Full Time and Part Time* Permanent
Closing Date:  Saturday 27 April 2019
Interview Date:   See advert
Reference:  1125319TR

Southampton Business School has an ambitious quality driven strategy, which will see us strengthen our position as a world-class business school in research, education and enterprise.

As part of a world-renowned Top 100 QS ranked Russell Group University with a global reputation for academic excellence, we offer a stimulating, challenging and dynamic working environment for all our staff. The Business School has recently secured AACSB accreditation as well as having AMBA for our MBA and is aiming for EQUIS accreditation within the next 18 months. Our CORMSIS research centre has been ranked within the QS world top 50 for Statistics and Operational Research and ranked 7th in the UK. The Business School’s placements team were 2019 winners of the National Undergraduate Employability Awards. We are now seeking to recruit a number of outstanding individuals for a key research and teaching positions in a number of disciplines as outlined below to play a crucial role in the School achieving its vision.

The Department of Decision Analytics and Risk at Southampton comprises more than 30 academics with teaching and research interests that include Management Science, Business Analytics, Information Systems, Operations and Risk Management. Members of the department have published in multiple top journals and are part of CORMSIS research centre. The department has a thriving undergraduate and postgraduate portfolio, which is built on the research strengths of the department staff.

You will have a PhD or equivalent degree/professional qualifications and experience in Business Analytics and an established track record of research publications at a minimum ABS 3* level (or equivalent standing), coupled with research grant activity. We are especially interested in the areas of business analytics, including big data analytics and/or deep learning.  We particularly welcome candidates who have experience with current machine learning/big data frameworks, e.g. Keras, Tensorflow or Pytorch. You will also demonstrate a strong interest in innovative approaches to teaching and be expected to provide research support (as appropriate) and mentoring to others in the group. 

*Applications will also be considered from candidates interested in part time hours of 0.6FTE and above. You will be asked to give details of your preferred working hours at the application stage. For applicants interested in a Part Time role, please note: This role is unlikely to support a Certificate of Sponsorship with a part time salary amount (a Certificate of Sponsorship is required to obtain a Tier 2 visa to work in the UK).

Interviews will be held between 9th and 17th May 2019.

For an informal discussion about the post, please contact Professor Christophe Mues, Professor of Data Science and Information Systems, by email: C.Mues@soton.ac.uk. 

Please see the attached job descriptions for further information on the two levels of Lecturer positions available (Level 4 and Level 5).

Application procedure:

You should submit your completed online application form at https://jobs.soton.ac.uk. The application deadline will be midnight on the closing date stated above. If you need any assistance, please call Charlene Tyson (Recruitment Team) on +44 (0) 23 8059 6803. Please quote reference 1125319TR on all correspondence.

We currently have a number of other vacancies available within the Business School at the University of Southampton. Please visit our central Business School recruitment page to see a list of other available vacancies: https://jobs.soton.ac.uk/1124219TR.

Further details:

We aim to be an equal opportunities employer and welcome applications from all sections of the community. Please note that applications from agencies will not be accepted unless indicated in the job advert.

Website: https://jobs.soton.ac.uk/Vacancy.aspx?ref=1125319TR