Modeling

Continuité numérique, simulation multiphysique, jumeaux numériques, exploitation de la donnée, métaverse industriel …
Le portfolio de Siemens Digital Industries Software accompagne tous les secteurs industriels (Automobile, Aéronautique, Electronique, Energie, Pharma, Cosmétique, Agroalimentaire, ...) dans leur transformation numérique.
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. 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.
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The Strategic Student Program is our formal internship program globally. 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.

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:

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.

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 are already experienced with machine learning
Your interpersonal and communication skills in both French and English enable effective collaboration within the team
Why Working at Siemens Software?
Siemens Digital Industries Software is your place to thrive. Whether you're a current student, recent graduate or postgraduate. Internship compensation: En cours de formation supérieure en école d'ingénieur (BAC+5) ou équivalent, en France, spécialisé en énergétique, stockage de l'énergie, génie électrique, machine learning, simulation ou équivalent.

Vous avez des connaissances en simulation de systèmes physiques
Vous avez déjà développé des modèles de machine learning
Vos compétences en communication en français et en anglais vous permettent de collaborer efficacement en équipe