Research Assistant for Consumer Battery Simulation - Leased Labor 6-18 months (m/f/d)
Nürnberg, Germany
Huawei Research Center Germany & Austria
Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices.Huawei Digital Power is a business unit within Huawei that provides Enterprise & Industry customers, products and solutions like clean power generation, transportation electrification, site power facilities, data center facilities, and embedded power. Huawei Digital Power is committed to integrate Digital and Power Electronics technologies to provide customers with high-quality, energy-efficient, green, and low-carbon power electronics products, facilitating their business success
The Power Conversion Technology Laboratory within 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
Research Assistant for Consumer Battery Simulation - Leased Labor 6-18 months (m/f/d)
Responsibilities:
- Develop and implement Python-based models for battery cell simulations, including electrochemical, thermal, aging, and swelling analyses throughout the full life cycle, with special consideration of composite anode properties.
- Build and optimize model-based frameworks to predict nonlinear aging behavior under user-specific operating conditions, enhance battery life with advanced charging and thermal management strategies, and leverage machine learning to support electrochemical models.
- Collaborate closely with the Headquarter Research Team and product teams, providing regular progress reports and presenting results.
- Work under the supervision of the project lead to support and align with strategic modeling goals and research targets.
Requirements:
- Holding or nearing completion of a Master’s or Ph.D. degree in energy storage, materials science, mechanical engineering, physics, chemistry, vehicle engineering, control science, electrochemistry, or a related field.
- Strong understanding of both electrochemical and equivalent circuit models for batteries, with advanced programming skills in Python. Matlab/Simulink is not required but desirable.
- Established network with top research groups across Europe.
- Fluent in written and spoken English (working language); German or Chinese skills are advantageous. Strong communication skills and adaptability in multicultural environments.
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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.
Huawei 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Chemistry Engineering Machine Learning Matlab Physics Privacy Python Research
Perks/benefits: Career development
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