Student Research Assistant, Team Survey Data Augmentation (SHK-SDC-23)

GESIS; Köln; Hybrid; EUR 21.000 - 28.000; Teilzeit

Benefits dieser Stelle

Flexible working hours

Mobile working regulations

Family-friendly working conditions

Health management program

Zusammenfassung

GESIS – Leibniz-Institute for the Social Sciences in Cologne seeks one or two Student Research Assistants to support the Survey Data Curation department. Tasks include data collection, management, analysis, and literature research, with opportunities to assist in methodology courses and workshops.

The role is for enrolled social science students with strong quantitative skills and English proficiency, with German a plus. Flexible hours and supportive career development are offered.

Qualifikationen

• Enrolled student in the social sciences (political science, sociology, or similar).
• Strong knowledge of quantitative methods.
• Experience with the R programming language and Zotero is a plus.
• Interest in democracy or social science methods.
• Good command of English; German is a plus.

Aufgaben

• Support the team’s full range of service and research activities in the office in Cologne.
• Data collection and management.
• Analysis and visualization of research data.
• Literature research.
• Assisting with the preparation of events such as methodology courses and research workshops.

Kenntnisse

Quantitative methods

R programming

Zotero

Interest in democracy research

English proficiency

Ausbildung

Enrolled student in social sciences

Tools

R

Zotero

Jobbeschreibung

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 Survey Data Curation, Team Survey Data Curations, located inCologne, is looking for one or two Student Research Assistants (15,20 € / 16,09 € hourly rate, up to 19 hrs./ month, temporary).

The department „Survey Data Curation“ processes and prepares social science research data across a diverse range of data types to support sociological and political science research, especially in comparative perspectives across space and time. The curated data include long-running national (e.g., ALLBUS, GLES) and international (e.g., ISSP, CSES) survey programs, which are documented and curated to the highest quality standards, but also research data products derived from or connected to these surveys, such as geo referencing services or trend files. The “Survey Data Augmentation” team specializes in developing methods for linking survey data with other types of data, such as georeferenced data, with a focus on democracy research. We are part of the emerging European data infrastructure “Monitoring Electoral Democracy” (https://medem.eu/).

Your tasks will be:

• Supporting the team’s full range of service and research activities in the office in Cologne
• Data collection and management
• Analysis and visualization of research data
• Literature research
• Assisting with the preparation of events such as methodology courses and research workshops

Your profile:

• Enrolled student in the social sciences (political science, sociology, or similar)
• Strong knowledge of quantitative methods
• Experience with the R programming language and the Zotero bibliography management tool is a plus
• Interest in research on democracy or social science methods
• Good command of English; German is a plus

Our Benefits:

• Participation in research and service activities related to academic studies
• Experience in data management and analysis relevant to a wide range of career fields
• 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 pleasecontact Sebastian Ziaja via e-mail ([e-mail]). If you have questions about the application process, please contact Christine Laßmann via e-mail ([e-mail]).