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Senior Lecturer in Data Science

The University of Manchester - Social Statistics

Location: Manchester
Salary: £53,348 to £69,557 per annum depending on experience.
Hours: Full Time
Contract Type: Permanent
Placed On: 19th November 2021
Closes: 14th January 2022
Job Ref: HUM-017879
 

The School of Social Sciences is seeking a Senior Lecturer in Data Science. This post is part of a larger recruitment of ten data science posts during 2021-22 to expand the existing vibrant staff team. Amongst other goals we are aiming to expand Manchester’s provision of Data Science Teaching and Learning. This post will be a permanent post from 1 February 2022 or thereafter.

We have an existing unique interdisciplinary MSc Data Science programme which is incredibly popular with over 3000 applications this year for 50 places. Phase one of the new programme is to expand intake numbers to 200. Phase 2 will build a similarly innovative interdisciplinary BSc programme. This new team will push forward the development plans and this particular post will provide leadership of that process with the goal of taking over as programme director in 2023.

It is essential that all teaching staff on the programme are expected to be research active and applicants must have established an international reputation in Data Science or related discipline, supported by a record of published research output and a wider record of achievement. Applicants with specializations in Social Data Science or Computational Social Science are particularly welcome. This post would be suited to somebody with ambitions to work towards promotion to chair on a balanced portfolio of research, teaching, and leadership excellence.

The School is strongly committed to promoting equality and diversity, including the Athena SWAN charter for gender equality in higher education. The School holds a Bronze Award which recognises our good practice in relation to gender; including flexible working arrangements, family-friendly policies, and support to allow staff achieve a good work-life balance. All appointments will be made on merit.

Our University is positive about flexible working – you can find out more here.

Blended working arrangements may be considered.

Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Enquiries about the vacancy, shortlisting and interviews:
Name: Professor Mark Elliot
Email: mark.elliot@manchester.ac.uk

General enquiries:
Email: hrservices@manchester.ac.uk

Technical support:
https://jobseekersupport.jobtrain.co.uk/support/home

This vacancy will close for applications at midnight on the closing date.

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