Stage - Machine Learning Modeling Of Battery Aging M - F - Strategic Student Program H/F Siemens France

Siemens Digital Industries Software (SW) helps organizations of all sizes digitally transform using software, hardware and services from the Siemens Xcelerator business platform. Siemens' software and the comprehensive digital twin enable companies to optimize their design, engineering and manufacturing processes to turn today's ideas into the sustainable products of the future. From chips to entire systems, from product to process, across all industries, we accelerate transformation. Siemens Digital Industries Software is one of five business units of Siemens Digital Industries (DI), a leading innovator in automation and digitalization. The other four businesses are Factory Automation, Process Automation, Motion Control and Customer Services. Start your career with the Strategic Student Program (SSP) The Strategic Student Program is our formal internship program globally. You will be mentored by guides and again invaluable professional experience. At Siemens, SSP interns get access to an international student network and community, career development opportunities with professional growth pathways, comprehensive practical training throughout the program, access to the Siemens Learning Hub and other training materials, and the opportunity to collaborate on exciting projects within a global, diverse team. Internship topic: Implementation of Machine Learning modeling for lithium-ion battery aging in Simcenter Amesim. What you'll be doing In collaboration with the Product Development team of Simcenter Amesim, you will be responsible for developing at least two distinct approaches to lithium-ion battery aging models that employ the use of Machine Learning (ML). These two approaches will require you to improve the existing model and to adapt its architecture to the requirements of Simcenter Amesim. To reach these objectives, you will:
- Conduct a bibliography study to identify the most relevant ML architectures to the case-study,
- Implement the architectures you found and those developed in-house,
- Compare the results of the empirical model currently implemented in Simcenter Amesim with your ML approaches.

For this work, you will be accompanied by the team that has developed and implemented data-driven battery aging models in Simcenter Amesim. This 6-month internship is based in Lyon (69), France and is available from January 2026. All about you!You are pursuing higher education in engineering (Bac +5) in France with a focus on energy storage systems, energy, electrical engineering, machine learning or simulation, or equivalent.
- You have a background in simulation.
- You are already experienced with machine learning.
- You have ideally a knowledge of lithium-ion batteries.
- Your interpersonal and communication skills in both French and English enable effective collaboration within the team.
- You can work autonomously as well as collaboratively with mentors.

Why Working at Siemens Software? We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. Transform the everyday and shape the future of your career with us Siemens Digital Industries Software is your place to thrive. Whether you're a current student, recent graduate or postgraduate. In our talent hiring programs you will find the trust and freedom to succeed, while building a shown foundation for your professional career. You will have the chance to work on real projects, providing value for our future success and making an impact for our customers. Internship compensation: 1200 € gross monthly + Meal vouchers. #DISW #LI-PLM #LI-Onsite #LI-MN1