Computer scientist or similar - - Development of knowledge graph

Forschung JavaScript Support UI/UX User Experience Design (UX) User Interface Design (UI) Top

At the Institute of Data Science in Jena, we are working on making the data backbone a reality for all DLR application areas (aeronautics, space, energy, transport, security). To this end, we develop and research methods in interdisciplinary work focussing on applications such as sustainable and circular processes, resilient supply chains, data-driven value chains or robust decision support. The methods developed in this way are applied in cooperation with other DLR institutes and external partners, either as part of joint projects or as part of technology transfer activities.

What awaits you

In the "Metadata Management" working group, we research and develop innovative and practical solutions for implementing modern (research) data management. The focus is on comprehensive documentation of collected data and tools to make data collection as easy as possible for users. The offered position aims to develop tools for the easy editing of knowledge graphs by domain experts and corresponding processes, e.g. with regard to rights management and curation.

Your Tasks

• Literature research and evaluation of existing solutions for manual editing of knowledge graphs and easy-to-use interfaces for domain experts
• Development of innovative concepts and prototypical implementation for the aforementioned challenges
• Collaboration in projects: understanding requirements, presenting results, agreeing on procedures
• Publication of results at scientific conferences, internally at DLR and to the general public
• Supervision of student work

• Completed university degree (Master's/Diploma) in engineering (e.g. computer science or data science) or other courses relevant to the position.
• Frist experience in working on complex research tasks.
• Frist research experience in the field of UI/UX design
• Advanced programming skills in JavaScript
• Practical experience in working with knowledge graphs and relevant technologies (especially RDF, SPARQL and SHACL) desirable
• Very good written and spoken English
• Good written and spoken German