Part-time Research Assistant in health sciences and analytics

Application deadline 09.01.2019

An exciting opportunity has opened within the Department of Health Sciences, Kristiania University College for a part-time Research Assistant on a cross-disciplinary science project. The project, which is a mix of health sciences and computer sciences, will be a collaboration between Kristiania University College, in Oslo, and University of Warwick, in the UK. In the project we will be training and testing predictive models concerning data about quality of life and academic performance, using an anonymised health dataset. We will compare the predictive performance of several machine learning algorithms to more traditional statistical approaches to model building. The ideal candidate would likely:

  • Be a new or recent graduate (i.e. have a bachelor’s degree) in a field related to health/statistics/ or computer science
  • have experience of data management
  • have some experience of fitting and interpreting statistical regression models
  • some familiarity with a Linux-based operating system
  • have some familiarity with using command-line driven statistical computing (for example Stata, R, or similar).
  • Either have some experience of using machine learning algorithms, or at least some conceptual understanding of these. However, candidates with an interest and a willingness to learn will also be considered.

Candidates with partial experience in the areas described above are invited to apply, as relevant project-specific training can be provided to suit the chosen candidate. The successful candidate will have excellent English communication skills, and planning skills, will be self-motivated, and able to work autonomously and as part of a team. The successful candidate will actively participate in team meetings and collaborative working and will be a full participating member of the research team and invited to be a co-author on scientific reports that directly result from the workVacancy Overview

20% to 40% FTE (depending on experience) February 2019 to Febuary, 2020To apply, please send your CV and a cover letter outlining your suitability and experience by Wednesday January 9th, 2019. Shortlisted candidates will be notified by email and offered an interview slot that will be held between 12:00 and 16:00 on either Wednesday January 23rd or Thursday January 24th, 2019.Do you have any questions?

If you would like to ask any questions about the role, please email (preferred) the study lead Professor Froud: [email protected], or call 00447734262854 (please note that this would be an international call). You may also call Per Morten Fredriksen on +47 41 20 42 96 or e-mail [email protected].Only applications submitted through our application portal will be considered.

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