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- Aufgaben: Join a dynamic team to research V2G flexibility and optimize charging station locations.
- Arbeitgeber: The Institute for Networked Energy Systems focuses on renewable energy technologies and smart energy systems.
- Mitarbeitervorteile: Collaborative work environment, opportunity to impact renewable energy, and competitive pay based on qualifications.
- Warum dieser Job: Be part of innovative projects that shape the future of energy systems and electromobility.
- Gewünschte Qualifikationen: Master's student in energy tech, IT, or related field; Python programming skills required.
- Andere Informationen: Experience with agent-based models is a plus; work in Oldenburg or Stuttgart.
Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.
- Perform fundamental literature research on V2G Flexibility and charging station location optimization, followed by acquiring some knowledge on agent-based approaches related to the V2G topic
- Define the scope and scenarios for the city as the main environment containing the e-autos and charging stations as the main agents.
- Create an integrated agent-based model (ABM) for the quantification of V2G flexibility and optimization of location of charging stations to maximize the Flexibility usage from the grid side for a generic city.
- Work in a young dynamic team and present your results to them in the form of report on the project.
You are currently in a master\’s degree programme in the field of energy technology, information technology, computer science or a similar course of study. In addition, you have a good understanding of electromobility technology and have basic knowledge of planning charging infrastructures. You have knowledge and initial experience in programming for the visualisation and analysis of data in the high-level language Pyton. You are already familiar with Python code/packages for energy modeling.
Gewünschte Qualifikationen
Ideally, you already have experience in developing Agent-based Models to solve complex energy related problems.
Payment
Je nach Qualifikation und Aufgabenübertragung bis Entgeltgruppe 5 TVöD.
Quantification of Vehicle to Grid (V2G) flexibility and optimization of charging station locations 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: Quantification of Vehicle to Grid (V2G) flexibility and optimization of charging station locations
✨Tip Number 1
Get familiar with the latest trends in V2G technology and charging station optimization. Follow relevant research papers, attend webinars, and engage with online communities to deepen your understanding and show your passion for the field.
✨Tip Number 2
Network with professionals in the energy technology sector. Attend industry conferences or local meetups to connect with people who work on similar projects. This can lead to valuable insights and potential referrals.
✨Tip Number 3
Brush up on your Python skills, especially focusing on libraries used for data visualization and energy modeling. Consider working on small projects or contributing to open-source initiatives to showcase your programming abilities.
✨Tip Number 4
Prepare to discuss your ideas on agent-based modeling and how it can be applied to V2G flexibility. Think about specific scenarios or case studies you could present during the interview to demonstrate your analytical thinking and problem-solving skills.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Quantification of Vehicle to Grid (V2G) flexibility and optimization of charging station locations
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities, especially around V2G flexibility and charging station optimization. Tailor your application to highlight relevant experiences.
Highlight Relevant Skills: Emphasize your knowledge in electromobility technology, agent-based modeling, and programming in Python. Provide specific examples of projects or coursework that demonstrate these skills.
Showcase Your Research Abilities: Since the role involves fundamental literature research, mention any previous research experience or projects where you conducted literature reviews or data analysis. This will show your capability to handle the research aspect of the job.
Prepare a Strong Cover Letter: Craft a cover letter that reflects your passion for renewable energy technologies and your interest in working within an international team. Make sure to connect your background with the goals of the Institute for Networked Energy Systems.
Wie du dich auf ein Vorstellungsgespräch bei Deutsches Zentrum für Luft- und Raumfahrt (DLR) vorbereitest
✨Show Your Passion for Renewable Energy
Make sure to express your enthusiasm for renewable energy technologies and how they align with your career goals. Share any relevant projects or experiences that highlight your commitment to this field.
✨Demonstrate Your Technical Skills
Be prepared to discuss your programming experience, especially in Python. Highlight any specific projects where you've used Python for data visualization or energy modeling, and be ready to explain your approach and the outcomes.
✨Understand V2G Concepts
Familiarize yourself with Vehicle to Grid (V2G) flexibility and charging station optimization. Be ready to discuss current trends, challenges, and potential solutions in this area, as well as how your skills can contribute to the DriVe2X project.
✨Prepare for Team Collaboration Questions
Since the role involves working in a dynamic team, think of examples from your past experiences where you successfully collaborated with others. Be ready to discuss how you handle feedback and contribute to group projects.
