Doctoral Researcher in Computational Social Science (CSS-117)
gesis
About this role
A Doctoral Researcher in Computational Social Science at GESIS investigates digital behavioral data, developing and applying machine learning and natural language processing methods to study disinformation and political influence in social media. The role involves analyzing large online data sets, designing data processing pipelines, and collaborating with interdisciplinary partners to produce research results for a doctoral thesis.
Skills
About gesis
gesis.orgGESIS — Leibniz Institute for the Social Sciences is Germany’s central research infrastructure organization supporting empirical social research. It provides researchers with curated datasets (micro and aggregate), access services and a research data center, extensive documentation and metadata, survey instruments and questionnaire archives, and methodological consulting for study planning, sampling, data collection, pretesting and analysis. GESIS hosts major resources and tools such as SSOAR, ZACAT and SOFIS and distributes large cross‑national studies (e.g. ALLBUS, Eurobarometer, European Values Study), plus services for data harmonization, standards and reuse. Universities, public agencies and social scientists rely on GESIS for high‑quality data, training, and methodological expertise.
About gesis
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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and employee contacts for gesis.
Salary
$26k
per year
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