ABOUT MUNICH ELECTRIFICATION

Munich Electrification is an innovative company founded with the aim of accelerating the transition to electric and connected mobility. We develop innovative electronic control units for electric vehicles and stationary storage systems for our global customers. Our international team is composed of highly motivated and exceptional engineers. As a small and specialized team we are well-aware of the importance of each individual colleague and support and promote each employee according to their abilities and needs. Our office with adjacent prototype and testing lab is located in the heart of Munich at the Heimeranplatz.

This is what we stand for:

• Technological Leadership: We challenge norms, innovate quickly, and anticipate future needs. We take smart risks and learn from outcomes to stay ahead.
• Sustainability: We actively drive change for a sustainable future, aware of our impact and inspiring others to build a better world.
• Team Culture: We believe work should be enjoyable, fostering a spirit of inspiration, celebration, and teamwork across the globe.
• Entrepreneurial Spirit: We embrace change, think big, and push limits with passion.

YOUR ROLE

We are looking for a highly motivated working student to support us in the development of our innovative BMS (battery management systems). You will assist our team of software engineers to gain hands-on experience in algorithm development and to profoundly deepen your knowledge around data science projects, electric vehicle batteries and battery management as part of an innovative and unique team.

YOUR FUTURE TASKS AT A GLANCE

• Contribute to a highly innovative research project utilizing AI backed digital twins to optimize lithium-ion battery aging
• Help with the development and improvement of our cell models and high-level algorithms to estimate and predict the state of a battery pack
• Support our team with maintaining /extending of our data pipeline infrastructure (including tasks such as data sourcing, cleansing or validation)
• Evaluate, implement and document proof of concepts of future algorithms