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3 Postdoc/Senior Researcher positions at FIZ Karlsruhe on Knowledge Graphs & Research Data Management

From: Sack, Harald (AIFB) <harald.sack@kit.edu>
Date: Tue, 31 Aug 2021 11:02:07 +0000
To: "semantic-web@w3.org" <semantic-web@w3.org>
Message-ID: <F6EAE7DB-4E79-4429-808D-C4E3205C300C@kit.edu>
3 PostDoc / Senior Researcher Positions on Knowledge Graphs related Research

at 

FIZ Karlsruhe - Leibniz Institute for Information Infrastructure

Information Service Engineering (ISE)

Karlsruhe, Germany

 

We are recruiting for the following positions for PostDocs / Senior Researchers (f/m/x) starting in October 2021:

 

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1) PostDoc/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) PostDoc/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) PostDoc/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 one of the FIZ ISE research topics (i.e. Knowledge Graphs, Knowledge Discovery & Knowledge Mining, Natural Language Processing, Machine Learning, Semantic & Exploratory Search) including scientific publications, third party funding proposals, active involvement in professional academic activities, co-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 internationally renowned, peer-reviewed journals and conferences

- Proven software engineering skills 

- Successful (co-)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). 


Remuneration is based on the Collective Agreement for the Public Sector (TVöD). The employment contract is initially limited to two years with optional extension. Applications from severely handicapped persons will be considered with preference, provided they are equally qualified. 


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HOW TO APPLY:

Excellent candidates are invited to apply with: 

- detailed curriculum vitae 

- copies of degree certificates/transcripts

- publication record (including DBLP, google scholar, scopus profiles)

- letters of recommendation (preferably at least two from previous supervisors)

- a statement of interest/letter of motivation covering your research goal


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 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. 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) 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 knowledge representation 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.

 

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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: www.fiz-karlsruhe.de

 

 

 


Received on Tuesday, 31 August 2021 11:02:58 UTC

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