Student Energy Technologies, Computer Science, Chemistry or similar (f/m/d) - Forschung, Ingenieur

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 Oldenburg we are looking for Student Energy Technologies, Computer Science, Chemistry or similar (f / m / d), Modeling the degradation of electrolyzers in integrated energy systems

Das erwartet Sie :

Would you like to work in an interactive, cooperative and international team? Are you interested in the new and further development of renewable energy technologies, in particular in the development of algorithms and technologies for the optimal operation of energy systems?

Then the Institute of Networked Energy Systems is an attractive employer for you. Our primary research objective is the development of concepts and technologies that ensure a stable energy system based on weather-dependent and decentralized power generation from renewable energies.

The Institute of Networked Energy Systems employs around 190 people at its Oldenburg and Stuttgart sites and deals with system engineering and system analysis issues related to the intelligent and efficient coupling of the electricity, heating, industry and transport sectors.

The Energy System Technology department focuses on the interaction between system-relevant energy technologies within decentralized networked structures.

In the distribution grid in particular, we are striving for new architectures for the energy systems of the future that ensure robust grid operation even under the influence of fluctuating feed-in sources.

The project SYSTOGEN100 aims to orchestrate energy systems with electrolyzers by optimizing them with regard to sustainability, grid security and economic efficiency.

By orchestration we mean the design, financing and operation of these energy systems. The understanding, analysis and modeling of degradation processes, in particular of electrolyzers, is an important aspect of this.

As part of the SYSTOGEN100 project you will :

• Perform detailed analyses of electrolyser operation under different conditions with degradation mechanisms and their impact on system performance, safety and economic aspects.
• Determine relevant parameters for modelling the degradation of electrolysers.
• Further develop existing modelling approaches or implement new ideas.

Das erwarten wir von Ihnen :

• You are currently pursuing a Master's degree in engineering, energy research, chemistry, physics, mathematics, computer science or comparable disciplines.
• You already have programming and modeling skills, especially in Python, and experience in the field of energy system technologies.
• Independent work, solving complex problems, English as a working language and good analytical skills are a matter of course for you.
• Ideally, you already have some experience in linear modeling and optimization as well as in the field of hydrogen or electrolyzers.

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 : 01.12.2024
• Dauer : up to 1 year
• Vergütung : Je nach Qualifikation und Aufgabenübertragung bis Entgeltgruppe 5 TVöD.
• Kennziffer : 98251
Vor 5 Tagen