Auf einen Blick
- Aufgaben: Join us in shaping the future of research data management for the energy transition!
- Arbeitgeber: Be part of the German Aerospace Center, a hub of innovation with 11,000 diverse employees.
- Mitarbeitervorteile: Enjoy opportunities for personal and professional development, plus flexible work options.
- Warum dieser Job: Contribute to groundbreaking projects in a collaborative environment focused on sustainability and technology.
- Gewünschte Qualifikationen: You need a degree in Computer Science or related fields, with programming skills and a passion for research.
- Andere Informationen: Full-time position with a contract duration of 3 years; part-time options available.
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
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 Transition.
What 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 as 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 to support 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: sofort.
- 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#J-18808-Ljbffr
Knowledge Engineer, Computer Scientists, or similar (f/m/x) Arbeitgeber: Deutsches Zentrum für Luft- und Raumfahrt e. V.
Kontaktperson:
Deutsches Zentrum für Luft- und Raumfahrt e. V. HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Knowledge Engineer, Computer Scientists, or similar (f/m/x)
✨Tip Number 1
Familiarize yourself with the latest trends and technologies in data management, especially those related to the hydrogen economy. This knowledge will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field of data science and research data management. Attend relevant conferences or workshops where you can meet people from DLR or similar organizations. Building these connections can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Showcase any experience you have with knowledge graphs, RDF, and SPARQL in your discussions. Even if it's not extensive, demonstrating your willingness to learn and adapt can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your approach to requirement engineering and how you would tackle complex research challenges. Being able to articulate your thought process and problem-solving skills will be crucial during the interview.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Knowledge Engineer, Computer Scientists, or similar (f/m/x)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and expectations for the Knowledge Engineer position. Highlight your relevant experience in research data management and semantic web technologies.
Tailor Your CV: Customize your CV to emphasize your academic background in Computer Science or related fields, as well as your programming skills in languages like JavaScript, Python, or Java. Include any experience with knowledge graphs and data catalogues.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for research and innovation in the energy transition. Discuss your experience with requirement engineering and your ability to work collaboratively with project partners.
Highlight Language Skills: Since the position requires advanced English and basic German skills, make sure to mention your proficiency in both languages. If you have any relevant certifications or experiences, include those as well.
Wie du dich auf ein Vorstellungsgespräch bei Deutsches Zentrum für Luft- und Raumfahrt e. V. vorbereitest
✨Understand the Research Focus
Make sure to familiarize yourself with the DLR's focus on data extraction, management, and analysis, especially in relation to the hydrogen economy. Being able to discuss how your skills align with these areas will show your genuine interest in the position.
✨Showcase Your Programming Skills
Prepare to demonstrate your programming abilities, particularly in languages like JavaScript, Python, or Java. Be ready to discuss past projects where you applied these skills, especially in complex research challenges.
✨Discuss Your Experience with Knowledge Graphs
If you have experience with knowledge graphs, RDF, or SPARQL, be sure to highlight this during the interview. Discuss specific examples of how you've used these technologies in previous roles or projects.
✨Prepare for Questions on Collaboration
Since the role involves working with various project partners, be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully worked in teams to achieve common goals, especially in a scientific context.