University of Lausanne - PhD position "Data Ecosystems for Personalized Health"

We are inviting applications for a PhD position, funded by the Swiss National Science Foundation, working on emerging data ecosystems around personal health.

Frist: 01.09.2021

This PhD position is available within the framework of the Sinergia project “Development of Personalized Health in Switzerland”, funded by the Swiss National Science Foundation (SNSF). The PhD student will be in residence at the University of Lausanne, Faculty of Business and Economics (HEC), Department of Information Systems (DESI), and work under the supervision of Prof. Christine Legner.

The PhD position is part of an interdisciplinary research team and will study the emerging data ecosystems around PH from three perspectives: (1) data value chains (how relevant data for PH services is created, stored and consumed and shared among the different actors), (2) data sharing platforms (understand the coordinating role and business models of data sharing platforms), and (3) data sovereignty in PH (analyze individual attitudes and assess the willingness-to-share).

Starting data: upon agreement, starting from October 1, 2021
Duration: 5 years max.

The applicant has successfully completed a Master’s degree in information systems or in a related discipline and have experience in e-health and/or data ecosystems. Applicants should be fluent in French and proficient in English. The doctoral student is expected to interact closely with the project’s members and to publish his/her research in international peer-reviewed journals and conference proceedings.

For further information, please contact Prof. Dr. Christine Legner (christine.legner@unil.ch).
Please apply at the University of Lausanne's website: https://tinyurl.com/2y5vah6m

The application should include:

  • a full curriculum vitae and a motivation letter, detailing the interest and competences related to the project’s topic,
  • a copy of the university diploma and a transcript of university grades,
  • an electronic version of a research paper (Master thesis, seminar work, colloquium paper or other scientific report).