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Master Thesis Machine Learning-Based Magnetic and Mechanical Properties Prediction of E-Sheet Metal Materials
Renningen
Aktualität: 11.11.2024

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11.11.2024, Bosch-Gruppe
Renningen
Master Thesis Machine Learning-Based Magnetic and Mechanical Properties Prediction of E-Sheet Metal Materials
Aufgaben:
E-drive components such as stator and rotor have high requirements regarding mechanical and magnetic properties. Due to future recycled content requirements, chemical properties are expected to change. The effect of this changed chemical composition on the mechanical and magnetic properties will be described using a data based approach. In your Master thesis, you will extend an existing mechanical ML model to include data, useful features and methods for magnetic properties. Your job includes data mining for data that meet the required criteria. Furthermore, you will develop a combined data-driven model of mechanical and magnetic properties. Last but not least, you will validate and extend existing and new ML methods with Python.
Qualifikationen:
Education: Master studies in the field of Mathematics, Computer Science, Physics, Engineering or comparable Experience and Knowledge in data processing and analysis; programming skills (Python with e.g. scikit-learn) Personality and Working Practice: you structure your work efficiently; your strong communication skills and sense of responsibility make you a valuable team player Enthusiasm: welcome to share your Git project with us Languages: very good in German or English

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Master Thesis Machine Learning-Based Magnetic and Mechanical Properties Prediction of E-Sheet Metal Materials

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