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Senior Research Assistant in Applied Data Science (City of Culture Evaluation)

  • Job Reference: REQ005761
  • Date Posted: Thursday, 2 September 2021
  • Application Closing Date: Thursday, 30 September 2021
  • Location: Preston Campus
  • Grade/Salary: F (£25,941 - £30,046)
  • Basis: Fixed term contract for 12 months
  • Job Category / Type: Professional Services
  • School/Service: Faculty of Science and Technology
  • Hours: Full time (36.25 - hours per week - 1.0 FTE)
  • Interview Date: To be confirmed

The Centre for Data Innovation in the Faculty of Science & Technology – working in partnership with the Lancashire City of Culture 2025 Bid and colleagues in the Institute for Research into Organisations, Work and Employment within the Lancashire School of Business and Enterprise – is seeking to appoint a Senior Research Assistant to work on our Understanding Lancashire collaborative research programme.

The Understanding Lancashire programme includes the development of an evaluation framework for the Lancashire City of Culture 2025 Bid, in which novel sources and forms of quantitative data (including novel analyses of traditional secondary datasets from panel and longitudinal surveys, statutory registries, and machine-enabled analyses of ‘Big Data’ sources) will play a central role. We would therefore particularly welcome applicants with experience of:

  • accessing, analysing and visualising open source datasets; and/or
  • negotiating access to private and proprietary datasets; and/or
  • generating and exploring ephemeral data (e.g. social media); and/or
  • applying automated systems and AI to generate insight through data analytics.

The successful candidate will be able to contribute to the research, knowledge exchange and associated strategic activities within the Centre for Data Innovation, the Understanding Lancashire programme and the Lancashire Partnership for Digital Futures; and will be expected to develop collaborative networks with internal and external research partners.

The successful candidate will join a highly motivated team with considerable expertise and experience in research and knowledge exchange. The successful candidate will have excellent organisation and communication skills and be committed to a flexible approach to their work. Good interpersonal skills as well as an ability to work independently and collaboratively are core requirements for this post.

A good honours degree or equivalent in a social science, science or mathematical discipline relevant to the development and application of digital intelligence techniques is essential, as is extra-curricular/work experience equivalent to, or involving, a Masters degree or higher postgraduate qualification in a discipline or field relevant to the development and application of digital intelligence techniques.

To arrange an informal conversation about the role, please contact Professor George Ellison, Director of the Centre for Data Innovation at:

Applicants need to meet all essential criteria on the person specification to be considered for interview. This position is based in Preston.

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