3 PostDoc/Senior Researcher positions at FIZ Karlsruhe on Knowledge Graphs related Research

3 PostDoc / Senior Researcher Positions on Knowledge Graphs related Research
at
FIZ Karlsruhe - Leibniz Institute for Information Infrastructure
Information Service Engineering, https://www.fiz-karlsruhe.de/en/forschung/information-service-engineering
Karlsruhe, Germany

We are recruiting for the following positions of a PostDoc / Senior Researcher (f/m/x) starting in October 2021.

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1) Senior Researcher for Knowledge Graph Based Mathematics Research Data Management
Reference number: 25/2021
https://www.fiz-karlsruhe.de/en/stellenanzeigen/postdoc-senior-researcher-wmx-mardi

The offered position will be in the FIZ ISE research team and part of the MaRDI project (https://www.mardi4nfdi.de/). MaRDI is part of the German Research Data Infrastructure initiative (NFDI programme, https://www.dfg.de/en/research_funding/programmes/nfdi/index.html). Particular tasks within the project will be the design, implementation, population and management of the MaRDI knowledge graph.

Please find job description, required qualifications, and how to apply below.

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2) Senior Researcher for Knowledge Graph Based Research Data Management in AI and DataScience
Reference number: 27/2021
https://www.fiz-karlsruhe.de/en/stellenanzeigen/postdoc-senior-researcher-wmx-nfdi4datascience

The offered position will be in the FIZ ISE research team and part of the NFDI4DataScience project (https://twitter.com/nfdi4ds) on research data infrastructures for data science and artificial intelligence (NFDI Programme, https://www.dfg.de/en/research_funding/programmes/nfdi/index.html). Particular tasks within the project will be the design, implementation, population and management of the NFDI4DataScience knowledge graph.

Please find job description, required qualifications, and how to apply below.

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3) Senior Researcher for Knowledge Graph Based Research Data Management in Materials Science
Reference number: 26/2021
https://www.fiz-karlsruhe.de/en/stellenanzeigen/postdoc-senior-researcher-wmx-matwerk

The offered position will be in the FIZ ISE research team and part of the NFDI-MatWerk project (https://www.nfdi-matwerk.de/) on research data infrastructures for materials science and engineering. NFDI-MatWerk is part of the German Research Data Infrastructure initiative (NFDI programme, https://www.dfg.de/en/research_funding/programmes/nfdi/index.html). Particular tasks within the project will be the design and implementation of ontologies for materials science followed by the design, implementation, population and management of the NFDI-MatWerk knowledge graph.

Please find job description, required qualifications, and how to apply below.

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General Job Description:
You are expected to conduct innovative research on ISE research topics including scientific publications, third party funding proposals, active involvement in professional academic activities, supervision of master and bachelor theses, co-supervision of FIZ ISE PhD students. We offer a productive and continuously evolving research environment, in which you can discuss ideas with FIZ ISE team members working on related topics as well as the opportunity to set up your own research team. Our goal is to perform internationally leading research which can be applied in high impact use cases

Qualifications and Skills:
- An excellent completed PhD and Master degree in Computer Science or a related field (candidates currently finishing their PhD are explicitly welcome to apply)
- 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 students
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 by national and international funding bodies
- Excellent English skills, written and spoken, German language skills are highly beneficial

Expertise in the following fields of research is required:
- Knowledge Graphs and Semantic Web Technologies
- Ontology Design and Ontological Engineering
- Machine Learning and Deep Learning

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

We offer you the opportunity to play a creative role in a highly dynamic scientific and technical environment and to support and advance our innovative projects and developments in the best possible way. You will find with us interesting and multifaceted tasks and performance-oriented career and professional development opportunities. With our working time models and the support of mobile working, we allow a high degree of flexibility in the arrangement of work schedules, considering the individual family and operational work situation (life-work balance). FIZ Karlsruhe understands itself as a family-friendly institution, with equal opportunities being an integral part of our daily life. Since October 2016, we have been certified by the audit berufundfamilie (www.fiz-karlsruhe.de/jobs-karriere.html).

Remuneration is based on the Collective Agreement for the Public Sector (TVöD). The employment contract is initially limited to two years with an optional extension. 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 here.

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HOW TO APPLY:
Excellent candidates are invited to apply with:
- detailed curriculum vitae
- copies of degree certificates/transcripts
- publication record
- writing samples of relevant scientific papers (e.g. thesis, etc.)
- letters of recommendation (preferably at least two from previous supervisors)
- a statement of interest/letter of motivation covering your research goals

FIZ Karlsruhe – Leibniz Institute for Information Infrastructure is one of the leading provider of scientific information and services and a member of the Leibniz Association. Our core task is the professional support of science and industry with research and patent information as well as the development of innovative services in the field of scientific information infrastructure, such as research data management, knowledge graphs and digital platforms. For this purpose, we conduct in-house research, cooperate with renowned universities and research associations and maintain an international network. FIZ Karlsruhe is a GmbH (a limited liability company) with a non-profit character and one of the major infrastructure institutions in Germany.

Information Service Engineering (ISE) https://www.fiz-karlsruhe.de/en/forschung/information-service-engineering
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 semantic annotation, semantic search, exploratory search, as well as recommender systems and question answering. ISE is lead by Prof. Dr. Harald Sack, who is also endowed with the chair of Information Service Engineering at KIT - Karlsruhe Institute of Technology.

All 3 positions are initially limited to 2 years with optional extension up to 5 years.

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For questions, please contact Prof. Dr. Harald Sack (Harald.Sack(at)fiz-karlsruhe.de).

Please send your complete application documents by e-mail, quoting the correct reference number [25 or 26 or 27]/2021, to:

FIZ Karlsruhe – Leibniz Institute for Information Infrastructure
Human Resources
Mr. Rainer Kurz
Hermann-von-Helmholtz-Platz 1
76344 Eggenstein-Leopoldshafen
Phone: +49 7247/808-168
E-Mail: bewerbung@fiz-karlsruhe.de
Homepage: https://www.fiz-karlsruhe.de/en/forschung/information-service-engineering