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Student Research Assistant, Team Transparent Social Analytics (SHK-CSS-39)

Köln
Part-time
Working Student

GESIS – Leibniz-Institute for the Social Sciences is an internationally active research institute, funded by federal and state governments and member of the Leibniz Association.
 
Starting as soon as possible, our Department Computational Social Science (CSS), Team Transparent Social Analytics located in Cologne, is looking for a
 
Student Research Assistant
(15,20 € / 16,09 € hourly rate, up to 10 hours per week, temporary)
 
The department Computational Social Science (CSS) collects digital behavioral data and provides computer-based methods for collecting and analyzing such data for social science research. It also supports scientists with the integration of digital behavioral data into their research designs. The department's research focuses on the quality of digital behavioral data, the development and validation of computational social science methods and the transformation of digital societies.
 
The BMFTR-funded project WIEGE (“Wiederholt Getäuscht” - “Repeatedly Deceived”) investigates how repeated, cross-platform political disinformation shapes young people’s everyday media experiences and what consequences it has for their attitudes, trust, and behavior. In the Transparent Social Analytics team, we are working on working packages within WIEGE that are concerned with the automated detection of disinformation in social media data. To this end, we compare various machine learning-based methods. We also use computational methods to analyze the content of cross-platform political disinformation.

Your tasks will be:

  • Systematic evaluation of research literature in the fields of social sciences, computational social science, and data science
  • Assistance in developing pipelines for the automated detection of disinformation in large text corpora using established machine learning models and LLMs
  • If necessary, assistance with the manual annotation of smaller datasets

Your profile:

  • Enrollment in a bachelor's (advanced) or master's program in sociology, political science, communication studies, linguistics, computer science, data science, or a related discipline
  • Proficiency in Python, or proficiency in R with a willingness to learn Python
  • Proficiency in German and English
  • Experience in systematically analyzing extensive research literature, or a strong willingness to learn
  • Experience in applying natural language processing methods to large datasets, or a strong willingness to learn
  • Interest in addressing social science questions using computational methods (Computational Social Science)

Our Benefits:

  • Exciting and practical insights into an interdisciplinary research project at the intersection of the social sciences and computer science
  • An interdisciplinary work environment with a friendly and collegial atmosphere, as well as a wide range of opportunities to develop your professional and methodological skills, including the opportunity to write a thesis related to the project
  • Flexible working hours and regulations for mobile working
  • Very good conditions for reconciling work and family life
  • Holistic company health management and discounted participation in the university's sports programme 
  • Promotion of your skills through further training measures

Contact

For further information concerning the tasks please contact Pia Schrot via E-Mail. If you have questions about the application process, please contact Christine Laßmann via E-Mail.

Interested?

Please apply via our Online-application portal until 15.11.2026.
Our reference number is: SHK-CSS-39

About us


GESIS is one of the world's leading social science infrastructure facilities, supporting researchers at all levels of their research projects with expertise and infrastructure services. We help ensure that socially relevant questions can be answered based on reliable data, the latest scientific methods and research information. We help with study planning and data collection, provide high-quality research data, support with data preparation and analysis, and finally with data archiving.
GESIS helps you gain further qualifications. We offer our employees a wide range of career opportunities in an appealing work environment with a high degree of personal responsibility and creative freedom. With us, you will work in an international environment in the heart of Mannheim and Cologne and benefit from a flexible work environment as well as internal and external networks.
GESIS ensures compliance with the guidelines for the severely disabled and promotes professional equality between women and men.

Full-time positions can also be filled on a part-time basis.
As a family-friendly employer, we have been certified by the “berufundfamilie” audit since 2010.
Further information on working at GESIS can be found 
here.
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