Phd Student

vor 1 Monat


Bern, Schweiz Universität Bern Vollzeit

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.

Tasks
- 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:

- Assisting with survey design and conducting survey data analysis for studying the impact of individual characteristics on information search behavior in the algorithm-driven media environments
- Training student assistants for manual content analysis of algorithmic system outputs
- Conducting various forms of statistical analyses (e.g. clustering / regression models)
- Writing of outstanding publications
- Contributing to the general tasks of the Institute
- Teaching of courses in the BA Social Sciences

**Requirements**:

- Outstanding Master degree in communication science, political science, or a related social science discipline
- Strong interest in political communication and/or online communication with a particular emphasis on algorithmic systems/AI
- Very good skills in the methods of empirical social science / statistics. Experience with latent class analysis and linear mixed-effect models is beneficial
- Ability to work in a team and reliability.
- Very good command of English (German/French/Italian is a plus)

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


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