Internship – Advanced Battery System Modeling and Algorithm Development

Huawei's Nuremberg Research Center
is responsible for Network Energy Advanced Technology Research, Architecture Evolution Design and Strategic Technology Planning.

The
Power Conversion Technology Laboratory
within the Huawei's Nuremberg Research Center is responsible for Advanced Digital Power Technology Research, Architecture Evolution Design and Strategic Technology Planning, and plays an important role in the Huawei Digital Power business in the design and development of power converters and control systems for applications such as PV Solar & Battery Energy Storage Field, Data Centers, Electric Vehicle, and Embedded Power Supply.

Join us as a

Internship - Advanced Battery System Modeling and Algorithm Development (m/f/d)
*Your mission *

• Assist in the development, testing, and validation of battery algorithms with a focus on state estimation (SoC/SoH), aging behavior, and performance diagnostics.
• Support the modeling of battery behavior using Equivalent Circuit Models (ECMs) and data-driven or physics-informed approaches.
• Preprocess, analyze, and visualize experimental and field datasets, ensuring high-quality input for model development.
• Develop and implement machine learning or statistical models for SoC/SoH estimation, degradation prediction, and anomaly detection.
• Help simulate, benchmark, and validate algorithms in Python or comparable environments.
• Contribute to technical documentation, reports, and presentations summarizing methods, results, and insights.
• Collaborate with cross-functional R&D teams to ensure alignment with project milestones and deliverables.

*Your areas of expertise *

• Currently pursuing a Master's or PhD degree in Electrical Engineering, Chemical Engineering, Energy Systems, Battery Technology, Data Science, or a related field
• Basic understanding of battery systems, energy storage technologies, or electrochemical principles
• Strong interest in battery modeling, state estimation (SoC/SoH), and degradation mechanisms, prior experience through coursework, projects, or thesis work is a plus
• Hands-on experience with Python or R for scientific computing and data analytics
• Strong analytical mindset and willingness to learn data analysis methods
• Good communication and teamwork skills to collaborate in a multidisciplinary environment
• Fluent in written and spoken English

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*Your rewards of working here *

• Our culture is characterized by innovative power and team spirit as well as the intensive exchange of knowledge and experience within our global network.
• We offer healthy meals ranging from traditional Chinese to western delicacies in our famous company canteen.
• To keep your development ongoing, you will find a broad range of training opportunities. Many online and face-to-face training programs incl. language courses in German and Mandarin.
• Our diverse and welcoming environment is shaped by different backgrounds and around 40 individual nationalities.
• Self-responsible work in a competent, motivated and constantly growing team.

Please send your application and CV (incl. cover letter and reference letters) in English.

Huawe
i
is a leading global information and communications technology (ICT) solutions provider. Driven by a commitment to operations, ongoing innovation, and open collaboration, we have established a competitive ICT portfolio of end-to-end solutions in Telecom and enterprise networks, Devices and Cloud technology and services. Our ICT solutions, products and services are used in more than 170 countries and regions, serving over one-third of the world's population. With 197,000 employees, Huawei is committed to develop the future information society and build a Better Connected World.