Two Ph.D. Fellowships: Medical Education for Data-Intensive Healthcare (Denmark/ Australia) Deadline: Sept. 13, 2019

University of Copenhagen/ Deakin University

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Starting on

November 1, 2019


Three Years



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Program Details

The Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen and Centre for Research in Assessment and Digital Learning (CRADLE), Deakin University (Melbourne, Australia) are offering two joint degree Ph.D. fellowships focusing on medical education for data-intensive healthcare.

These Ph.D. fellowships will be a collaboration enjoying joint supervision from two groups comprising experts in medical pedagogy at Deakin University (headed by Professor Margaret Bearman) and experts in medical science and technology studies (STS) focusing on data-intensive healthcare (headed by Professor Klaus Hoeyer). The place of employment will be in Copenhagen and fellowship will join the everyday activities of an active research group investigating how increased data intensification affects the healthcare services.

Project description: How do medical doctors learn in digitally enabled and data-intensive environments? Digital technology continues to change everyday practices of healthcare and create much more data-intensive forms of healthcare delivery. Data are used by an increasing number of social actors not only for research and clinical purposes, but also for administration, legal controls and remuneration, while patients also generate their own data, and increasingly expect medical professionals to engage with data from tracking devices of uncertain validity. Data intensification thereby poses new challenges for medical training, while simultaneously changing the very conditions for medical learning and professional roles. We invite investigations of the challenges of data intensification for medical learning that can feed into pre- or postgraduate medical training. There is scope within the project for the applicant to carve out a specific area of interest. Studies may focus on specialized care and/or general practice.

Job description: the key tasks of a PhD student at SUND are:

  • Carry through an independent research project under supervision
  • Complete PhD courses or other equivalent education corresponding to approx. 30 ECTS points
  • Participate in active research environments including a stay at another research team
  • Obtain experience with teaching or other types of dissemination related to your PhD project
  • Teach and disseminate your knowledge
  • Write a PhD thesis on the grounds of your project

The place of employment is at Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen. We offer creative and stimulating working conditions in dynamic and international research environment.

Eligibility/ Requirements

Applicants must have qualifications corresponding to a master’s degree related to the subject area of the project e.g. medical doctor, public health science, science and technology studies (STS), anthropology, sociology, pedagogy or related fields. A keen interest in questions of learning and knowledge practices will be central for completion of the project.

Other important criteria are:

  • The grade point average achieved
  • Professional qualifications relevant to the PhD project
  • Previous publications
  • Relevant work experience
  • Other professional activities
  • Curious mind-set with a strong interest in data intensive healthcare and medical education
  • Language skills

Application Process

Your application must be submitted electronically by clicking ‘Apply’ below. The application must include the following documents in PDF format: 

  1. Motivated letter of application (max. one page)
  2. CV incl. education, experience, language skills and other skills relevant for the position
  3. Master of Science diploma and transcript of records. If not completed, a certified/signed copy of a recent transcript of records or a written statement from the institution or supervisor will do
  4. Publication list (if possible)

More details here.

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