Working Student – Battery Algorithm Development (f/m/d)

About Munich ElectrificationMunich 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 RoleWe 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

What you bring with you

• Master student in electrical / control engineering, physics, mathematics, technical cybernetics, or a similar field
• Solid experience in a high-level programming language (Python or MATLAB)
• Good knowledge on modeling and state estimation of dynamical systems (linear and nonlinear
• ordinary differential equation, partial differential equation, Kalman filter)
• Ideally knowledge of tools and frameworks like Git, Docker, Terraform, Kubernetes, Grafana, Prometheus
• Ideally initial insights in modeling and simulating the behavior of lithium-ion battery cells
• Ideally initial experience with machine learning frameworks and optimization techniques in Python
• Willingness to take responsibility of a project and not to be discouraged by setbacks
• Preference for working in teams and strong communication skills (English and German preferred)

Our Offer & BenefitsThe chance to be part of a highly innovative, agile, and unique team with prestigious customers in the automotive and battery storage sector. You will gain a deeper knowledge around connected & electric vehicle batteries, battery management and electronics development and strive in an exciting work environment Benefits: - Trust-based working hours and hybrid work- Adequate and competitive compensation- Pension Plan/Bonus- Free access to the fitness center right next to us or subsidized EGYM Wellpass- Free snacks, coffee, drinks and lunch (freshly cooked by our chef) every day- Public transport ticket- Bike-Leasing via Business Bike- Experience various inspiring and fun team events- ME-branded clothing- Option to "work from anywhere"