PhD Student (full position)

University of Bern
June 11, 2023
Offerd Salary:Negotiation
Working address:N/A
Contract Type:Other
Working Time:Negotigation
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PhD Student (full position)

At the Institute of Communication and Media Studies (ikmb) of the University of Bern, a position is available as a PhD Student (full position). The position will be available from July 1st, 2023 (or by appointment) for an initial period of three and half years. It is intended to serve the purpose of scientific qualification.


  • Conducting research in the SNF-sponsored project “Algorithm audit of the impact of user- and system-side factors on web search bias in the context of federal popular votes in Switzerland” investigating the impact of algorithmic bias on the democratic decision-making:
  • Developing approaches for automated news frame detection in the text-based algorithmic system outputs
  • Contributing to data preprocessing (e.g. html-to-text conversion) and automated translation tasks
  • Calculating similarity and entropy metrics for measuring the variation in algorithmic system outputs
  • Producing outstanding academic publications
  • Contributing to the general tasks of the Institute
  • Teaching of courses in the BA Social Sciences
  • Requirements

  • Outstanding Master degree in computational social science, communication science, a related social science discipline, or computer science
  • Strong interest in political communication and/or online communication with a particular emphasis on algorithmic systems/AI
  • Very good skills in the field of machine learning and natural language processing
  • Experience with the use of deep learning for textual analysis, in particular of transformer models, is beneficial
  • Good skills in the field of empirical social science / statistics
  • Very good command of English
  • Ability to work in a team and reliability
  • We offer

    An attractive working environment at the Institute for Communication and Media Science at the University of Bern: a collegial team, cooperation and exchange, as well as the freedom to develop your own ideas. Employment adheres to the regulations of the Canton of Berne.

    Applications shall include: 1) letter of motivation including research interests / ideas 2) CV 3) list of publications (if there are any) 4) certificates 5) one central chapter of the MA-thesis or another publication The complete application should be mailed as a single pdf file by May 12th, 2023 to Dr. Mykola Makhortykh ([email protected]). For further information, please contact Dr. Mykola Makhortykh. The job interviews will take place on the 24th of May.


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