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Lecturer/Senior Lecturer in Business Analytics (E&R or ES&P) x2

Employer
University of Kent
Location
Canterbury, United Kingdom
Salary
£35,326 to £58,279
Closing date
Jun 19, 2022

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Working as a Lecturer/Senior Lecturer in Business Analytics at Kent Business School is to be part of the 1% of global business schools to gain 'Triple Crown' accreditation from three top business organisations: European Quality Improvement System (EQUIS) from the European Foundation for Management Development (EFMD), The Association to Advance Collegiate Schools of Business (AACSB) and The Association of MBAs (AMBA). We also gained the Small Business Charter Award in 2018.

As a dual-intensive Business School, our distinctiveness comes from a forward-thinking approach to business education. We place sustainable innovation at the heart of our educational outlook, underpinned by world-class research. We are interdisciplinary by nature, bringing innovative solutions to real world issues. We are integrated into the local business community as a hub for knowledge creation and exchange. We are proud that our industry collaborations and global partnerships benefit students, businesses and the community. Our commitment to gender equality was recognised by our 2020 Athena SWAN bronze award.

Not only will you be welcomed into the department of Analytics, Operations and Systems where internationally-recognised colleagues pride themselves on teaching excellence, you will be joining a team of world-leading researchers - indeed, the REF2021 has confirmed KBS as a leading research business school, with 80% of our outputs rated as world-leading (4*) or internationally excellent (3*).

We invite applications from dedicated scholars keen to join a dynamic team and make a strong contribution to both research and teaching, as well as our student enterprise and business engagement activities.

The successful applicants will lead and contribute to the delivery of Business Analytics modules at both undergraduate and postgraduate levels. In particular, the post holders will be expected to provide teaching in one or more of the following: data analytics, statistics, decision analysis, Soft OR, advanced spreadsheet modelling, simulation, performance management, project management, optimisation, or possibly new modules in the successful candidates' own area of expertise.

In addition to previous teaching experience, the post holders should have a clearly defined research or scholarship agenda with a track record or clear potential to publish in top peer-reviewed journals (E&R) or professional journals (ES&P). Evidence of income generation, research impact (E&R), scholarship or corporate engagement is expected in the case of appointments to Senior Lecturer level. Although all cognate areas of Business Analytics will be considered, we are particularly interested in applicants with research or scholarship expertise in areas that the Department of Analytics, Operations and Systems is looking to grow, including (but not limited to) decision analysis, simulation, Soft OR, Systems Thinking, performance management, and optimisation.

We encourage applications from both research-led educators and experienced scholars with experience in demand-driven curriculum development, technology-enabled learning, and/or executive education and Higher and Degree Apprenticeships. We are especially keen to hear from those whose work relates strongly to the School's mission of sustainable innovation.

You will be a research-led educator (E&R) or an experienced scholar (ES&P) with experience in demand-driven curriculum development, technology-enabled learning, and/or executive education and Higher and Degree Apprenticeships.

While the posts will be based at Canterbury, the successful candidates may be expected to take up teaching and other responsibilities at the University's other campuses, study centres and off-campus for the delivery of Degree and Higher Degree Apprenticeships and the international MSc programme in Hong Kong (short-term visits only).

Both Canterbury and Medway offer excellent places to live whether urban, rural or coastal living is your preference. There is also access to Outstanding schools in both areas, easy links to central London and Europe via high-speed trains as well as our stunning cultural and historical attractions. Kent also offers much in the way of outdoor life as well as an enviable climate. The School offers a competitive salary, generous support for research/scholarship as well as a collegial and cohesive work environment.

If you require further information regarding the application process please contact KBS HR on kbshr@kent.ac.uk quoting ref number: KBS-089-22

For an informal discussion, please contact Prof Jesse O'Hanley, Head of Department of Analytics, Operations and Systems (J.Ohanley@kent.ac.uk)

We particularly welcome applications from female and black, Asian and minority ethnic candidates as they are under-represented at this level in this area.

The University of Kent are able to assist with Visa applications where eligible.

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