Student assistant (f/m/d) 41 h/month limited to 2 years reference code: SOZSTRUKTUR-SHK-2026

Freie Universität Berlin; Berlin; Vor Ort; EUR 17.000 - 22.000; Teilzeit

Zusammenfassung

Freie Universität Berlin invites applications for a student research assistant in the Social Stratification and Survey Methodology group. The role supports data analysis on large-scale datasets (SOEP, ESS) and contributions to publications and teaching materials.

The ideal candidate is enrolled in Sociology or related fields, with strong analytical skills, proficiency in Office, and experience with STATA or R. English proficiency at C1 and German at B2 are expected.

Qualifikationen

• Enrolled in Sociology, Political Science, Economics or related disciplines.
• Good academic achievements.
• Excellent computer skills and knowledge of Office applications.
• Knowledge and experience in survey-based social research.
• Knowledge and experience in STATA and/or R, esp. panel- and multi-level analysis.
• Strong communication skills.
• Highly proficient in English (C1); good working knowledge of German (B2).

Aufgaben

• Assist with data analysis using large-scale datasets (SOEP, ESS) and contribute to publications and dissemination materials.
• Assist with literature searches and prepare teaching slides and material for Blackboard.

Ausbildung

Enrolled in Sociology or related disciplines

Tools

STATA

R

Office applications

Jobbeschreibung

The Institute of Sociology at Freie Universität Berlin conducts research on current sociological questions. An international comparison, especially of European societies and the analysis of transnationalization and Europeanization processes are the core research areas of the Institute. The Institute offers the Master’s program "Sociology – European Societies" and the Bachelor's program "Globale Soziologie". The research and teaching agenda is implemented together with the Central Institutes for East European Studies, Latin American Studies, and the John F. Kennedy Institute for North American Studies as well as through close cooperation with the Social Science Research Center Berlin (WZB) and the Socio-Economic Panel (SOEP). Further information can be found on www.polsoz.fu-berlin.de/soziologie.

The vacant position is assigned to the research group Social Stratification and Survey Methodology (Prof. Dr. Stefan Liebig). The research group investigates how individual preferences, values, attitudes, and the actions of individuals are shaped by social structures and vice versa: how do individuals influence the structures of modern societies by their actions. These analyses focus primarily on current social dynamics related to the development of social inequalities, migration and refugee movements, prejudice and discrimination, as well as social threats. When analyzing these phenomena, we proceed in a strictly theory-driven manner and draw on theories and explanatory approaches from the social, economic, and behavioral sciences. Our empirical studies generally build on large national and international cross-sectional and longitudinal datasets from the social and economic sciences. We are seeking a student research assistant with an interest in issues related to “social inequalities and their perception and evaluation”.

Job Description

Supporting the research group’s research and teaching agenda in the area of “Social inequalities, their perception and evaluation”:

• Research tasks include assisting with data analysis using the German Socio-economic Panel (SOEP), the European Social Survey (ESS) and other large-scale datasets from the social sciences, literature research as well as preparation of publications and other materials for dissemination
• Teaching related tasks include assisting with literature searches, preparing slides, Blackboard

Desirable

• enrolled in Sociology, Political Science, Economics or related disciplines
• good academic achievements
• excellent computer skills and knowledge of Office applications
• knowledge and experience in survey-based social research
• knowledge and experience in STATA and/or R, esp. panel- and multi-level analysis
• communication skills
• highly proficient in spoken and written English (C1); good working knowledge of German (B2)

For further information, please contact Kathrin Oster ([e-mail] / [phone]).