PhD Student

Last application date
Jul 01, 2021 00:00
PS01 - Department of Communication Sciences
Limited duration
master’s degree in Communication Sciences, Psychology or Sociology
Occupancy rate
Vacancy type
Research staff

Job description

You will be a member of an interdisciplinary team, in which your task will be to model the collected intensive longitudinal data to gain further insights into digital wellbeing. You school yourself in the use of state-of-the-art statistical and computer scientific analysis techniques, including network analysis and machine learning, and subsequently apply these techniques to the project data. You develop a theoretical framework, actively contribute to the data collection, write scientific articles, and participate in (inter-)national scientific congresses. Additionally, you are expected to complete a doctoral dissertation based on your research. Finally, you participate in the daily activities of the ERC-team, the research group imec-mict-UGent, and the department of Communication Sciences at Ghent University. After successfully completing the dissertation, you have acquired skills that put you on the map as ‘computational socialscientist’.

Job profile

  • You have a master’s degree in Communication Sciences, Psychology or Sociology, and can demonstrate an outspoken interest in statistical and computer scientific analysis techniques. Candidates with degrees from other programs (e.g., Data science or Informatics) may also apply when they can show sufficient knowledge of the research domain and can demonstrate relevant expertise and/or interest. Students who are currently finalizing their master’s degree are welcome to apply.
  • You are an excellent and motivated researcher with an analytic mind. Your profile becomes more competitive if you have already acquired methodological and analytical skills for collecting and analyzing intensive longitudinal data, and/or have command of R,Python or another programming language.
  • You are fluent in English and have mastered the basics of academic writing in English.
  • You are pro-active, and are capable of independently developing your own research line within the confines of the ERC project.
  • You are communicative, work well in a team and are capable of both giving and receiving feedback, as well as transforming feedback adequately in your activities.
  • You enjoy being involved also in the work of colleagues working on other subproject of DISCONNECT, which will be performed by other team members.
  • You are not afraid to roll up your sleeves. At times when the project asks a lot of energy, you can motivate both yourself and others.

How to apply

All applications must be received no later than June 30,2021 at 23:59 (CET)at , with the following documents attached as one file

  • A cover letter, in which you motivate why we should consider your candidacy
  • A CV, in which you include the names and contact information of 2 persons who we may contact as referents
  • A transcript of your degree(s)
  • A scan of your study results
  • A document that demonstrates your writing skills (e.g., a paper or your thesis)

As Ghent University maintains an equal opportunities and diversity policy, everyone is encouraged to apply for this position. Please contact the principal investigator of the project, Prof. dr. Mariek Vanden Abeele, if you have further questions about this position and the vacancy: information about the imec research group mict can be found here: