Tuesday, August 11, 2020

[DMANET] Faculty position - University of Kent

[Apologies for cross-posting]

Dear colleagues

Kent Business School is seeking a Lecturer/Senior Lecturer (Assistant/Associate Professor) in Big Data Analytics to join the Management Science group.
The successful applicant will lead and contribute to the delivery of business analytics modules at both undergraduate and postgraduate levels. In particular, the post holder will be expected to provide teaching in data visualisation, machine learning, database management with SQL, data analytics software and statistical programming languages (e.g. Python, R). The post holder should also have a clearly defined research agenda with a track record or clear potential to publish in top peer-reviewed journals.

Please see the links below to view the full job description and apply for this post:
https://jobs.kent.ac.uk/Vacancy.aspx?ref=SS-186-20-R

To apply, please submit your CV, cover letter and a 2-page research plan.

Key Information
Salary: £34,804 to £57,418 per annum
Closing date for application: Sunday 6 September 2020
Interview date: Wednesday 23 September 2020 (interviews may need to be held via zoom)

Informal enquiries may be directed by email to Prof Maria Paola Scaparra (m.p.scaparra@kent.ac.uk).

Please do share this email with your postdocs or final-year PhD students who may be interested in the position.

Thank you and have a nice summer!

Paola

Maria Paola Scaparra | Head of the Management Science Group
Professor of Management Science
Centre for Logistics and Heuristic Optimisation(CLHO)
Kent Business School, University of Kent
Room 304, Sibson, Canterbury, Kent, CT2 7FS, UK
Tel: +44 (0)1227 824556 | Fax: +44 (0)1227 827726

http://www.kent.ac.uk/kbs | https://www.kent.ac.uk/kbs/our-staff/profiles/scaparra_maria.html

Gold for Kent in Teaching Excellence Framework (TEF)<https://www.kent.ac.uk/news/kentlife/14115/gold-award-for-kent-in-teaching-excellence-framework-tef>

Principal Investigator of the GCRF OSIRIS project
Twitter: @GCRF_OSIRIS
Website: https://research.kent.ac.uk/gcrf-osiris<https://research.kent.ac.uk/gcrf-osiris/>


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