Overview

The department Knowledge Technologies for Social Sciences (KTS) 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. KTS innovations are based on a state-of-the-art software stack and research-based innovations in the aforementioned fields.

In the context of the consortia NFDI4DataScience and BERD@NFDI of the National Research Data Infrastructure (NFDI) KTS develops innovative services with the goal to improve the findability and reusability of research data for data science and artificial intelligence.

Your tasks will be:
Research in the areas of Information Retrieval, Knowledge Graphs, Natural Language Processing and/or Machine Learning, with a particular focus on the integration of and search for research data
Project coordination in cooperation with partners in the NFDI, supervision of doctoral students, exchange with relevant communities (e.g. NFDI, GO FAIR, W3C, RDA, EOSC)
Conceptual design of research-based services for searching data (BERD), data extraction and construction of research knowledge graphs (NFDI4DS) for AI and data science research
Dissemination of project results through publications and workshops

Company:

GESIS

Qualifications:

PhD in Computer Science, Data Science or comparable fields
Good research track record in the areas of information retrieval, semantic technologies, knowledge extraction, NLP and/or knowledge graphs
Project management experience
Experience in software development with Java, Web, DB and search technologies

Language requirements:

Good oral and written communication skills in English, knowledge of German desirable

Educational level:

Ph. D.

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