Student Computer Science, Energy Engineering or similar (f/m/x)

Steigen Sie ein in die faszinierende Welt des Deutschen Zentrums für Luft- und Raumfahrt (DLR), um mit Forschung und Innovation die Zukunft mitzugestalten! Mit dem Know-how und der Neugier unserer 11.000 Mitarbeitenden aus 100 Nationen sowie unserer einzigartigen Infrastruktur, bieten wir ein spannendes und inspirierendes Arbeitsumfeld. Gemeinsam entwickeln wir nachhaltige Technologien und tragen so zur Lösung globaler Herausforderungen bei. Möchten Sie diese große Zukunftsaufgabe mit uns zusammen angehen? Dann ist Ihr Platz bei uns!

For our Institute of Networked Energy Systems in Stuttgart we are looking for Student Computer Science, Energy Engineering or similar (f/m/x), Further development of an electric vehicle charging infrastructure ontology

Das erwartet Sie:

The Institute for Networked Energy Systems employs around 185 people at its sites in Oldenburg and Stuttgart. With its departments of Urban and Residential Technologies, Energy Systems Technology and Energy Systems Analysis, it is dedicated to system-technical and system-analytical issues concerning the intelligent and efficient coupling of the electricity, heat, industry and transport sectors.

The Energy Systems Analysis department pursues the goal of enabling the optimal design of energy systems with high shares of renewable energies by providing detailed orientation knowledge. The Energy Systems Modelling group is dedicated to the analysis of energy systems transformation pathways in high spatial and temporal resolution, the further methodological development of energy systems models and the identification and open provision of data for these models. In this context, the quality of soundness of data is of high importance to ensure the consistency and interoperability of our models. To aid the process of integrating heterogeneous data sources we develop suites of domain specific ontologies for energy system relevant sectors. One of these ontologies intends to cover terminology relevant to the exploration and operation of Electric Vehicle Supply Equipment (EVSE) data. The development of this ontology is driven by a collection of application scenarios.

Your contribution consists of the implementation of the first application scenarios associated to charging infrastructure registries and the proposal of new scenarios of interest for science and industry, specifically you will perform the following tasks:

• Getting familiar with git based open source ontology development.
• Research and collect important terminology associated with industry standards and protocols like the IEC 62196, the OCPP and the OCPI.
• Implement ontology axioms in the web ontology language (OWL).
• Participate in the modelling discussion process during regular developer meetings.
• Perform extensive documentation of the collecting process with emphasis on potential data licensing risks.

Das erwarten wir von Ihnen:

• Currently registered student in the field of computer science, engineering or a comparable discipline with preferable relation to transport, energy and/or semantic web technologies
• Scripting and programming skills with one or more of the following languages: java, python, shell
• Experience following software development workflows using issue boards (i.e. GitHub)
• Basic technical knowledge of distribution grids, electric vehicles and their charging infrastructure
• Ability to work independently and willingness to speak up when finding challenges
• Excellent English competence, must be able to understand and explain technical documents
• Familiarity with semantic web stack would be an advantage (for example: RDF, SPARQL, OWL and Protégé)

Unser Angebot:

Das DLR steht für Vielfalt, Wertschätzung und Gleichstellung aller Menschen. Wir fördern eigenverantwortliches Arbeiten und die individuelle Weiterentwicklung unserer Mitarbeitenden im persönlichen und beruflichen Umfeld. Dafür stehen Ihnen unsere zahlreichen Fort- und Weiterbildungsmöglichkeiten zur Verfügung. Chancengerechtigkeit ist uns ein besonderes Anliegen, wir möchten daher insbesondere den Anteil von Frauen in der Wissenschaft und Führung erhöhen. Bewerbungen schwerbehinderter Menschen bevorzugen wir bei fachlicher Eignung.

Weitere Angaben:

• Eintrittsdatum: sofort
• Dauer: 6 months
• Vergütung: According to student qualification and job description payment group up to TV E 5 (EntO Bund)
• Kennziffer: 96995