Postdoctoral Researcher in Computational Social Science | Postdoc in Computational Social Science
GESIS - Leibniz-Institut für Sozialwissenschaften
Job Summary
This Postdoctoral Researcher role at GESIS, the Leibniz Institute for Social Sciences, offers a unique opportunity to contribute to cutting-edge research in Computational Social Science. The successful candidate will join an interdisciplinary team in Cologne, focusing on developing innovative Open Science services for digital behavioral data. Key responsibilities include creating computer-based methods for collecting, processing, and analyzing complex, unstructured data for social science questions, as well as independently conducting research and acquiring third-party funding. This position is ideal for a scholar with a strong research profile in CSS, experience with open-source applications, and a passion for making computational social science research transparent and reproducible.
Required Skills
Education
Doctorate (PhD) and university degree (Diploma, Master or similar) in a field relevant to Computational Social Science, e.g., Applied Computer Science, Statistics, Political Science, Communication Science, Psychology, Sociology, or related disciplines.
Experience
- International visible research profile in Computational Social Science
- Established international networking in relevant CSS research communities
- Experience in developing open-source applications for social science questions
- Experience and knowledge in Open Science, Web Scraping, AI/LLMs, and/or multimodal data analysis with R and/or Python
- Experience with and interest in working on CSS infrastructure projects (advantageous)
Languages
Additional
- Not specified