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Ph.d. position (m/f/d) in collaboration with bmw on data-driven modeling of structural foams for high-voltage storage

München
Technical University of Munich
Driver
Inserat online seit: 20 Januar
Beschreibung

Ph.D. Position (m/f/d) in collaboration with BMW on Data-driven Modeling of Structural Foams for High-Voltage Storage

30.10., Wissenschaftliches Personal

Data-driven modeling and optimization of structural foams used in high-voltage battery systems for electric vehicles. As part of BMW’s passive safety and electrification strategy, the research aims to develop a multidisciplinary framework that combines microstructure modeling, machine learning, and probabilistic simulation to link manufacturing parameters, foam morphology, and mechanical performance.

This Ph.D. project focuses on the data-driven modeling and optimization of structural foams used in high-voltage battery systems for electric vehicles. As part of BMW’s passive safety and electrification strategy, the research aims to develop a multidisciplinary framework that combines microstructure modeling, machine learning, and probabilistic simulation to link manufacturing parameters, foam morphology, and mechanical performance.


PLEASE APPLY DIRECTLY TO THE BMW WEB-PORTAL CONTAINED IN THE URL BELOW.

APPLICATIONS RECEIVED SENT TO OUR EMAIL ADDRESS WILL BE IGNORED

The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.

Data Protection Information:
When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.

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