Graduate Student Research Assistant, Team Assessing Survey Data Quality (DE/EN) (SHK_SDM_2026_024)
GESIS – Leibniz-Institut für Sozialwissenschaften
Graduate Student Research Assistant, Team Assessing Survey Data Quality (DE/EN) (SHK_SDM_2026_024) at GESIS – Leibniz-Institut für Sozialwissenschaften is a full time role based in Mannheim, Baden-Wurttemberg, Germany. It was published on 9 September 2026 and was open at last check.
| Role | Graduate Student Research Assistant, Team Assessing Survey Data Quality (DE/EN) (SHK_SDM_2026_024) |
|---|---|
| Company | GESIS – Leibniz-Institut für Sozialwissenschaften |
| Location | Mannheim, Baden-Wurttemberg, Germany |
| Employment type | Full Time |
| Published | 9 September 2026 |
| Status | Open at last check |
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 Design & Methodology (SDM), Team Assessing Survey Data Quality, located in Mannheim, is looking for a
Graduate Student Research Assistant
(16,09 € hourly rate, 40 hrs./ month, temporary)
The department Survey Design & Methodology (SDM) is both nationally and internationally recognized for its expertise in survey methodology, gained over many years by conducting own research as well as consulting on and implementing renowned survey projects. The team Assessing Survey Data Quality (ASDQ) advises researchers on the data quality of survey and ancillary data and develops indicators, guidelines, tools, and training materials for social scientists. In this role, you will assist the project on Evaluating Synthetic Data Quality (SYNQ), building a programmatic pipeline for detecting quality issues in AI-generated survey data.
Co -development of a data quality analysis pipeline in R/Python, combining packages and developing new workflows Collection, processing, and analysis of (AI-generated) survey data Literature / software research on silicon sampling evaluation and data quality evaluation metrics Preparation of documentation and presentations Administrative support for AI-related survey research and services
Strong programming skills (in R; experience with Python is a plus) Good knowledge of statistical concepts and methods (theory and practice) Experience in processing and analyzing social science data Reliable, rigorous, and independent in problem-solving Proficient in English (good knowledge of German is a plus) Enrolled in a Master’s program at the intersection of social and data science, e.g., (Social) Data Science, Computational (Social) Science, Big Data, or Social Sciences (e.g., Sociology, Political Science) with a quantitative focus
Working on a cutting-edge and relevant topic at the intersection of survey data quality and AI Very good conditions for reconciling work and family life Flexible working hours and regulations for mobile working Holistic company health management and discounted participation in the university's sports programme Promotion of your skills through further training measures through GESIS Training
For further information concerning the tasks, please contact Dr. Leah von der Heyde via E-Mail ( ). If you have questions about the application process, please contact Michaela Kurtov via E-Mail ( ).
Please apply via our online application portal. Applications will be reviewed on a rolling basis, so please don’t hesitate to apply!
Our reference number is: SHK_SDM_2026_024
Create your free OnJob profile to apply — we'll take you to GESIS – Leibniz-Institut für Sozialwissenschaften's application after sign-up. · Posted 9 Sept 2026.
Graduate Student Research Assistant, Team Assessing Survey Data Quality (DE/EN) (SHK_SDM_2026_024) at GESIS – Leibniz-Institut für Sozialwissenschaften — questions answered
What does the Graduate Student Research Assistant, Team Assessing Survey Data Quality (DE/EN) (SHK_SDM_2026_024) role at GESIS – Leibniz-Institut für Sozialwissenschaften pay?
GESIS – Leibniz-Institut für Sozialwissenschaften does not publish a salary on this Graduate Student Research Assistant, Team Assessing Survey Data Quality (DE/EN) (SHK_SDM_2026_024) listing, so OnJob shows no figure for it rather than an estimate. For what this role pays across the market, the OnJob salary guides aggregate the live listings that do disclose pay.
Where is the Graduate Student Research Assistant, Team Assessing Survey Data Quality (DE/EN) (SHK_SDM_2026_024) role at GESIS – Leibniz-Institut für Sozialwissenschaften based?
GESIS – Leibniz-Institut für Sozialwissenschaften lists this Graduate Student Research Assistant, Team Assessing Survey Data Quality (DE/EN) (SHK_SDM_2026_024) role in Mannheim, Baden-Wurttemberg, Germany, advertised as full time work at that location. Larger employers sometimes cover several sites under one city name, so confirm the exact office with GESIS – Leibniz-Institut für Sozialwissenschaften before you apply.
Is the Graduate Student Research Assistant, Team Assessing Survey Data Quality (DE/EN) (SHK_SDM_2026_024) role at GESIS – Leibniz-Institut für Sozialwissenschaften still open?
The Graduate Student Research Assistant, Team Assessing Survey Data Quality (DE/EN) (SHK_SDM_2026_024) posting at GESIS – Leibniz-Institut für Sozialwissenschaften was open at OnJob's last check of the employer's careers page, having been published on 9 September 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
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