Knowledge Engineer, Computer Scientists, or similar (f/m/x)

German Aerospace Center (DLR)


Datum: vor 1 Woche
Stadt: Jena, Thüringen
Vertragsart: Auftragnehmer
Enter the fascinating world of the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt; DLR) and help shape the future through research and innovation! We offer an exciting and inspiring working environment driven by the expertise and curiosity of our 11,000 employees from 100 nations and our unique infrastructure. Together, we develop sustainable technologies and thus contribute to finding solutions to global challenges. Would you like to join us in addressing this major future challenge? Then this is your place!At our Institute of Data Science in Jena we are looking for a

Knowledge Engineer, Computer Scientists, or similar (f/m/x)

Research Data Management for the Energy TransitionWhat to expect: The focus of the DLR Institute for Data Science in Jena is to find solutions for the major challenges of the digitalisation age. The research focuses on the areas of data extraction and mobilisation, data management and preparation, and data analysis and intelligence. The Working Group “Metadata Management” addresses topics in the area of semantic descriptions of data, development of ontologies and semantically enhanced systems. These topics are addressed in both DLR-internal as well third-party-funded projects. The advertised position is in particular concerned with research data management for the energy transition. It is part of a project with the goal to assess potential challenges and opportunities of a future hydrogen economy. The project combines the expertise from various DLR institutes to develop a comprehensive picture of possible future scenarios. Your task is support of a common research data management within the project. Besides the definition of vocabularies and data models, this includes creation and maintenance of a data catalogue as the central information hub between all project partners. You will play an important role in the FAIRification of data and models and, hence, secure their reusability! Your tasks include

  • requirement engineering together with our project partners
  • literature research and identifying state-of-the-art approaches in the area of descriptions of data and models in the area of a hydrogen economy
  • development of vocabularies and ontologies for a hydrogen economy
  • development and maintenance of a data and model catalogue
  • evaluation and improvement of approaches and implementations
  • publication and presentation of results at national and international conferences and within the project consortium
  • supervision of students

What we expect from you:

  • completed academic university degree in Computer Science, Mathematics or related areas (e.g., data science); alternatives are other areas with a focus on Semantic Web.
  • basic experience in independently addressing complex research challenges
  • proven programming skills (e.g., JavaScript, Python or Java.)
  • joy of working in a scientific environment
  • advanced skills in both written and spoken English
  • basic skills in both written and spoken German
  • willingness to travel (national/international)
  • Applied experience working with knowledge graphs and related technologies (e.g., RDF and SPARQL) is a plus.

DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified. Further information: Starting date: 01.01.2025

Duration of contract: 3 years

Type of employment: Full-time (part-time possible) Remuneration: Based on qualification and tasks up to group 13 TVöD Vacancy-ID: 98218 Contact:

Sirko Schindler Institut für Datenwissenschaften

Tel.: 03641 30960 104

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