Description of the Position:

This position is part of the Information Service Engineering (ISE) Research group [2] at FIZ Karlsruhe (FIZ ISE)[1]. FIZ ISE investigates models and methods for efficient semantic indexing, aggregation, linking and retrieval of comprehensive heterogeneous and distributed data sources. To this end, both statistical and linguistic analysis methods (NLP) as well as machine learning in combination with symbolic logic are applied. ISE research relies and extends on knowledge representation standards developed for the Semantic Web. ISE research application areas include but are not limited to solutions for knowledge extraction, semantic annotation, semantic and exploratory search, as well as recommender systems and question answering. Besides basic methodological research, domains of applied ISE research are, amongst others, cultural heritage, digital humanities, materials science, and research data management.

Job Description:

– We are looking for an ambitious person who aims for a successful scientific career in the context of knowledge graph related technologies contributing to the strategic research and technology goals of FIZ Karlsruhe

– The offered position will be in the FIZ ISE research team

– We are expecting innovative research on FIZ ISE research topics including active involvement in scientific publications, third party funding proposals, as well as in professional academic activities

– Furthermore, supervision of master and bachelor theses as well as co-supervision of FIZ ISE PhD students is expected

– We offer a productive and continuously evolving research environment and will actively support you in your further scientific qualification

– Our goal is to perform internationally leading research which can be applied in high impact use cases


FIZ Karlsruhe


Qualifications and Skills:

– An excellent completed PhD degree in Computer Science or a related field

– Publications of research results in renowned, peer-reviewed journals and conferences

– Proven software engineering skills and the ability to develop mature software components beyond pure research prototypes

– Successful supervision of bachelor and master theses

– Successful collaborations with other research groups, industry, as well as open-source and community-initiatives, for example in the context – of publicly funded collaborative research projects

– Experience in applying for funding from national, European and international funding agencies

– Excellent English skills, written and spoken, German language skills are highly beneficial

Expertise in several of the following fields of research:

– Knowledge Graphs and Semantic Web Technologies

– Natural Language Processing

– Machine Learning and Deep Learning

– Ontology Design and Ontological Engineering

Educational level:

Ph. D.

How to apply:

Please mention NLP People as a source when applying


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About FIZ Karlsruhe

FIZ Karlsruhe is one of the large non-academic infrastructure institutions in Germany and member of the Leibniz Association.