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Job Opening: Student assistant (m/f/d) 41 hours per month, limited to 2 years

Application deadline: 8 May 2023

News from Apr 20, 2023

The Professorship of Empirical Methods in Social Research works on how to use cutting-edge research methods in order to better understand some of the main issues in society and politics today, such as populism, online misinformation, and political participation and representation. We are looking for a student assistant with an interest in quantitative methods and their applications to social issues to assist in various projects. We offer the chance to get first-hand experience in research projects, the opportunity to improve or develop your quantitative methods and statistical software skills, and participation in an international research team.

Application deadline is 8 May 2023.

Job description:
- Collect, process, and manage social sciences data
- Support the team with organizing teaching and events
- Perform literature reviews and summaries

Desirable:
- Enrolled in Sociology/Political Science or a related field
- Good academic achievements
- Basic statistical training and experience with the R statistical software
- Analytical reasoning & ability to summarize a large body of scientific literature
- Motivation, commitment
- Fluent written and spoken English (C1)
- Willingness to learn advanced data management procedures in R

For further information, please contact Mrs. Antonia Hausen (bewerbungen-ifs@polsoz.fu-berlin.de / 030-838 57651).


Weitere Informationen

Applications should be sent by e-mail, together with significant documents (motivation letter; CV; grade transcript) indicating the reference code, in PDF format (preferably as one document) to Prof. Dr. Bruno Castanho Silva: bewerbungen-ifs@polsoz.fu-berlin.de or postal to

Freie Universität Berlin
Fachbereich Politik- und Sozialwissenschaften
Institut für Soziologie
Prof. Dr. Bruno Castanho Silva
Garystr. 55
14195 Berlin (Dahlem)
 
With an electronic application, you acknowledge that FU Berlin saves and processes your data. FU Berlin cannot guarantee the security of your personal data if you send your application over an unencrypted connection.

Link to job advert.

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