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Lecturer (Assistant prof.) / Senior Lecturer (Associate prof.) in Data Science

  • 1.  Lecturer (Assistant prof.) / Senior Lecturer (Associate prof.) in Data Science

    Posted 12-13-2021 04:51
    Edited by Ali Hassanzadeh 12-13-2021 05:46
      |   view attached

    Lecturer / Senior Lecturer in Data Science

    Job reference: HUM-017883

    Location: Oxford Road, Manchester

    Closing date (DD/MM/YYYY): 14/01/2022

    Salary: Lecturer G6 /7 £33,309 to £51,799 or Senior Lecturer G8 £53,348 to £69,557 per annum, dependent on experience.

    Employment type: Permanent

    Faculty/Organisation: Humanities

    Division: Management Sciences and Marketing (MSM)

    Hours per week: full time

    Contract Duration: Permanent

    School / Directorate: Alliance Manchester Business School

    Alliance Manchester Business School is the largest campus-based business school in the UK. We are a full-service business school offering undergraduate, masters, MBA and executive education programmes, as well as a highly respected PhD programme. 
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    With triple accreditation from AACSB International, AMBA and EQUIS, we provide world-class, industry-focused education and an excellent student experience.

    Alliance Manchester Business School is seeking a Lecturer or 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. 

    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. The new staff team will be pushing forward the development plans and this particular post would provide leadership of the Alliance MBS pathway on this multi-school programme.

    It is essential that teaching staff on the programme are research active and so applicants must have (or be about to complete: by end of 2021) a PhD degree and possess an established/growing international reputation in Data Science or related discipline, supported by a record of published research output and a wider record of achievement. 

    The post will involve a balanced portfolio of research, teaching, impact and leadership excellence. More generally, the successful candidate will have the ability to deliver excellent teaching at undergraduate and postgraduate levels across the programmes run by the division, in Manchester, online and potentially at our Global centres. The normal terms and conditions of the University of Manchester apply to the post.

    Applicants must be available for a 1st February 2022 start (or soon after), hold a PhD or be nearing completion (or hold a relevant, significant professional qualification combined with Masters supervision experience), have demonstrable experience of high quality teaching with the ability to carry out online and on-campus and hybrid dual teaching, along with excellent oral and written communication skills.

    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. As an equal opportunities employer, we welcome applications from all suitably qualified persons. However, as Women candidates are currently under-represented at this level in this area, we would particularly welcome applications from Women candidates. All appointments will be made on merit.

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

    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: Dr. Richard Allmendinger

    Email: Richard.allmendinger@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.

    Please see the link below for the Further Particulars document which contains the person specification criteria.



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    Ali Hassanzadeh
    Lecturer in Management Science
    University of Manchester
    Manchester
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    Attachment(s)

    pdf
    HUM-017883.pdf   607 KB 1 version