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PostDoc/Senior Researcher or PhD/Junior Researcher Computer Science (f/m/x)

WorkplaceEggenstein-Leopoldshafen, Hermann-von-Helmholtz-Platz 1, Baden-Württemberg, Germany
Duration2 years
Occupation rate
Job Start01.12.2022

FIZ Karlsruhe - Leibniz Institute for Information Infrastructure is one of the leading providers of scientific information and services and a member of the Leibniz Association. Our core tasks are the professional provision of research and patent information to science and industry as well as the development of innovative information infrastructures, e.g., with a focus on research data management, knowledge graphs and digital platforms. To this end, we conduct our own research, cooperate with renowned universities and research societies, and are internationally and interdisciplinarily networked. FIZ Karlsruhe is a limited liability company with a non-profit character and one of the largest non-university institutions of its kind.

Information Service Engineering (ISE) at FIZ Karlsruhe 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.

This position is part of the Platform MaterialDigital project ( ?url=https%3A%2F%2Fwww.materialdigital.de%2F&module=jobs&id=2411209" target="_blank" rel="nofollow">?url=https%3A%2F%2Fwww.materialdigital.de%2F&module=jobs&id=2411209" target="_blank" rel="nofollow">https://www.materialdigital.de/ ) on the sustainable digitalization of materials. Particular tasks within the project will be the design, implementation, alignment, and maintenance of ontologies for materials science engineering.


  • 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 for PostDocs 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


  • An excellent completed master 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
  • Knowledge of materials science is highly beneficial, but not mandatory
  • Additionally for PostDocs:
  • An excellent completed PhD degree in Computer Science or a related field
  • 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
  • Machine Learning and Deep Learning
  • Ontology Design and Ontological Engineering
  • Natural Language Processing

The candidate should be highly self-motivated, interested in tackling challenging research problems, have excellent organizational skills, be open minded, and have scientific leadership potential.

We offer

  • Remuneration according to the German Collective Agreement for the Public Sector (TVöD VKA) including a company pension plan with VBL
  • Collaboration in a highly dynamic scientific and technical environment
  • Performance-oriented career and development opportunities
  • Flexible working time models and mobile working
  • Certified by the audit berufundfamilie, which guarantees the work-life balance of family and job
  • Company bike leasing option

The employment relationship is initially limited to two years, although our goal is a long-term cooperation. Applications from severely handicapped persons will be considered with preference, provided they are equally qualified. Information on data protection for employment advertisements can be found at our homepage.

Contact and Address

If you have any technical questions, please contact Prof. Dr. Harald Sack ( harald.sackfiz-karlsruhe.de ). Questions regarding the application process should be directed to Mr. Rainer Kurz ( rainer.kurzfiz-karlsruhe.de ).

Excellent candidates are invited to apply with:

  • detailed curriculum vitae
  • copies of degree certificates/transcripts
  • publication record
  • writing samples/copies of relevant scientific papers
  • letters of recommendation (preferably at least two)
  • a statement of interest/letter of motivation covering your research goals

Please send your complete application documents by e-mail, quoting the reference number

43/2022, to bewerbungfiz-karlsruhe.de .



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In your application, please refer to myScience.org and reference JobID 2411209.