Lecturer (Education) in Business Analytics

United Kingdom
£38,017 - £49,553
Jan 11, 2021
Feb 10, 2021
Organization Type
University and College
Full Time
The role

The School of Management's ambition is to focus on the global and societal challenges of our time. It seeks to be a pluralistic school that values inclusive inquiry - an approach to intellectual work that engages different academic and non-academic partners with the highest levels of professional respect for alternative world views. Our scholars are conducting world leading research in innovation, management science, organisation studies, health/public sector management, human/employment relations, business history, marketing, consumption, sustainability, international management and strategy. The School of Management is continuing its period of exciting growth which is creating further new opportunities. We are seeking high-calibre, original thinkers and innovators with to help us pioneer a globally leading school.

This is a rare opportunity to be in the vanguard of unprecedented expansion at a truly world-class university. We are looking for a high calibre and committed Lecturer (Education) in Business Analytics.

What will you be doing?

The key elements of the role are:
  • Teaching at undergraduate and postgraduate including assisting with lectures, seminars, marking on units and unit directorship.
  • Acting as a personal tutor to undergraduate and postgraduate students.
  • Supervising UG/MSc dissertations in the relevant area.
  • Curriculum development/enhancement in line with the school ambition/strategy.

You should apply if

The successful applicant will have experience of teaching at undergraduate and postgraduate level, and engagement with pedagogical research is vital. The ideal applicant will be a team player with excellent communication skills and have the enthusiasm to engage fully in the school and deliver our portfolio of undergraduate and postgraduate programmes, including dissertation supervision. Applicants from any area in business analytics with a background in Python/R programming, SQL, and Digital Business are welcome, particularly those applicants with a teaching/research interest in Big data, Optimization & Simulation and/or Machine learning application in management. It is equally vital that the successful candidate can contribute to our citizenship and leadership plans.

We welcome applications from all members of our community and are particularly encouraging those from diverse groups, such as members of the LGBT+ and BAME communities, to join us.

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