* Apologies for any cross-postings *

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.

For the next possible date, our Department Knowledge Technologies for the Social Sciences (WTS), Team FAIR Data and Human Information Interaction located in Cologne, is looking for a

Research Associate in the field of Research Data Infrastructures

(Salary group 13 TV-L, working time 75%, limited to September 2025)

The department Knowledge Technologies for Social Sciences (WTS) conducts research at the intersection of information retrieval, knowledge graphs, human information interaction and machine learning as foundation for innovative web portals and platforms for the search and use of research data. WTS innovations are based on a state-of-the-art software stack and research-based innovations in the aforementioned fields.

In the context of the consortium KonsortSWD of the National Research Data Infrastructure (NFDI) WTS develops innovative services with the goal to improve the reusability and interoperability of research data on the web.

Your tasks will be:

Development of sustainable and scalable concepts to improve the reusability and interoperability of research data by persistent identifiers and open APIs for standardized data exchange
Elicitation of research-related use cases, concept and metadata development, requirements elicitation for technical implementation, technical modeling of services, project-accompanying evaluation of the concepts based on the use cases
Research on own use case at the interface between data science and social science (e.g. knowledge graphs, data linking)
End user engagement, dissemination of project results through publications and workshops
Continuous exchange with relevant communities (NFDI, GO FAIR, RDA, EOSC, CESSDA)

Your profile:

Good university degree (Master or equivalent) in Computer Science, Information Science, Data Science, or comparable fields
Experience in managing research data; research and publication experience
Good oral and written communication skills in English, knowledge of German desirable
Desirable: experience in software development (with Java), knowledge in the areas of research data infrastructures, metadata and web standards, data formats, Open Science / FAIR Data

For further information and how to apply: https://www.hidden-professionals.de/HPv3.Jobs/gesis/stellenangebot/18453/Research-Associate-in-the-field-of-Research-Data-Infrastructures?lang=en-US

Application deadline: June 6, 2021

Kind regards,

Peter Mutschke

Deputy Head of department

Teamleader FAIR Data and Human Information Interaction

Dep. Knowledge Technologies for the Social Sciences

GESIS – Leibniz Institute for the Social Sciences

Unter Sachsenhausen 6-8

D-50667 Köln

Tel.: +49(0)221 / 47694 -500

Mail: peter.mutschke@gesis.org