Student Research Assistant, Training (SHK_KEO_2025_039)

GoHiring GmbH; Mannheim; Vor Ort; Teilzeit

Zusammenfassung

A premier research institute for social sciences in Mannheim is seeking a Student Research Assistant to support course preparation and research projects in social science data quality. Candidates should have strong skills in quantitative research methods, proficiency in MS Office, and good English. Flexibility in working hours and a family-friendly environment are offered.

Leistungen

Flexible working hours

Holistic company health management

Discounted participation in the university's sports programme

Promotion of skills through further training

Qualifikationen

• Good knowledge of quantitative research methods and statistics.
• Sound knowledge of a statistics program (e.g., R, Stata, or Python).
• Very good knowledge of MS Office and reference management software (e.g., Zotero).
• Experience with or interest in social science methodological research.

Aufgaben

• Support in the preparation and implementation of courses in social science data quality.
• Collaboration in research projects focused on data quality.
• Support in communicating results through reports and blog posts.

Kenntnisse

Quantitative (survey-)research methods

Statistics program (e.g., R, Stata, or Python)

MS Office proficiency

English proficiency

German proficiency (at least B1)

Experience with AI/LLMs

Experience with analyzing text data

Ausbildung

Social science studies (psychology, sociology, political science, computational science)

Jobbeschreibung

Student Research Assistant, Training (SHK_KEO_2025_039)

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 Knowledge Exchange and Outreach (KEO), Team Training located in Mannheim, is looking for a Student Research Assistant (13,98 € / 14,87 € hourly rate, 40 hrs./ month, temporary). The task of the department „Knowledge Exchange and Outreach” is to continuously develop and optimize the broad range of services and concepts to effectively transfer research findings and survey methods know-how to the scientific community and to the society. The team Training organizes the scientific training program in social research methods for researchers from the social sciences and neighboring disciplines. Current topics are covered by compact workshops as well as longer, modular seminars. The advertised position is part of the BMFTR-funded KODAQS project. With this project, GESIS, together with the University of Mannheim and LMU Munich, will create a data competence center for the social sciences that will provide researchers with the necessary skills to assess, process, and analyze social science data.

Your tasks will be:

• Support in the preparation and implementation of courses in the field of social science data quality using innovative learning methods in our KODAQS Academy (e.g., preparation of interactive teaching materials)
• Support of and collaboration in team members’ research projects in social and computational social sciences (mostly with a focus on data quality)
• Support in communicating results (e.g., creating reports, blog posts)

Your profile:

• Social science studies (psychology, sociology, political science, computational science)
• Good knowledge of quantitative (survey-)research methods and statistics
• Sound knowledge of a statistics program (e.g., R, Stata, or Python)
• Very good knowledge of MS Office and reference management software (e.g., Zotero)
• Very good English proficiency
• German language proficiency (at least B1) is desirable
• Experience with AI/LLMs is desirable
• Experience with analyzing text data is desirable
• Interdisciplinary project team at three locations (Mannheim, Cologne, and Munich) with direct cooperation with the University of Mannheim and the LMU Munich
• Insight into the scientific work at a research institute and into current social science methodological research
• Very good scientific networking opportunities
• 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 Thomas Knopf via E-Mail ([e-mail]). If you have questions about the application process, please contact Michaela Kurtov via E-Mail ([e-mail]).

Interested?

Please apply via our online-application portal until 14.12.2025.
Our reference number is: SHK_KEO_2025_039

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.