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- Aufgaben: Join our team to enhance energy system models for a sustainable future.
- Arbeitgeber: The Institute for Networked Energy Systems focuses on innovative energy solutions in Oldenburg and Stuttgart.
- Mitarbeitervorteile: Gain hands-on experience, work with cutting-edge technology, and develop transferable skills.
- Warum dieser Job: Contribute to impactful research while collaborating with experts in a dynamic environment.
- Gewünschte Qualifikationen: Studying electrical engineering, energy tech, or physics; programming skills in Python preferred.
- Andere Informationen: Flexible payment based on qualifications and responsibilities.
You are studying electrical engineering, energy technology, physics, or a related discipline You ideally have experience in formulating optimization problems and programming, preferably using Python You have a strong analytical mindset, show initiative and are a good communicator
Payment
Je nach Qualifikation und Aufgabenübertragung bis Entgeltgruppe 05 TV EntgO Bund
Student electrical engineering, energy technology, physics or similar (f/m/x) Arbeitgeber: Deutsches Zentrum für Luft- und Raumfahrt (DLR)
Kontaktperson:
Deutsches Zentrum für Luft- und Raumfahrt (DLR) HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Student electrical engineering, energy technology, physics or similar (f/m/x)
✨Tip Number 1
Familiarize yourself with GAMSPy and PyPSA-Eur, as these are key tools for the role. Understanding how to extend energy system optimization models using these platforms will give you a significant edge during the interview process.
✨Tip Number 2
Showcase any relevant projects or coursework that involved formulating optimization problems or programming in Python. Being able to discuss your hands-on experience will demonstrate your capability and enthusiasm for the position.
✨Tip Number 3
Prepare to discuss current trends in energy systems and the importance of frequency stability. This will not only show your knowledge but also your passion for contributing to a more robust European energy system.
✨Tip Number 4
Connect with current or former employees of the Institute for Networked Energy Systems on platforms like LinkedIn. Gaining insights from their experiences can provide you with valuable information to tailor your approach and questions during the application process.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Student electrical engineering, energy technology, physics or similar (f/m/x)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you fully understand the responsibilities and requirements of the position. Familiarize yourself with the concepts of energy systems modeling, optimization problems, and the specific tools mentioned like GAMSPy and PyPSA-Eur.
Tailor Your CV: Highlight your relevant experience in electrical engineering, energy technology, or physics. Emphasize any programming skills, particularly in Python, and any previous work with optimization problems. Make sure to showcase your analytical mindset and communication skills.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the research topic and the opportunity to contribute to the STAWESOM project. Discuss how your background aligns with the goals of the Energy Systems Analysis department and mention any specific projects or experiences that demonstrate your initiative.
Proofread and Submit: Before submitting your application, carefully proofread all documents for clarity and correctness. Ensure that your application is complete and that it reflects your best work. Submit your application through our website to ensure it reaches the right people.
Wie du dich auf ein Vorstellungsgespräch bei Deutsches Zentrum für Luft- und Raumfahrt (DLR) vorbereitest
✨Show Your Analytical Skills
Since the role requires a strong analytical mindset, be prepared to discuss specific examples where you've used your analytical skills in previous projects or studies. Highlight any experience with optimization problems and how you approached them.
✨Demonstrate Programming Proficiency
Make sure to showcase your programming experience, especially with Python. Be ready to talk about any relevant projects where you've implemented algorithms or models, particularly in energy systems or similar fields.
✨Understand the Project Goals
Familiarize yourself with the STAWESOM project and its objectives. Being able to articulate how your skills and experiences align with the project's goals will show your genuine interest and understanding of the work you'll be involved in.
✨Communicate Effectively
As a good communicator, practice explaining complex concepts in simple terms. This is crucial for collaborating with the research team and presenting your ideas clearly. Prepare to discuss how you’ve successfully communicated technical information in the past.
