Machine Learning Engineer for Predictive Modeling

vor 4 Wochen


Renningen, Baden-Württemberg, Deutschland Robert Bosch GmbH Vollzeit
Master Thesis: Predicting E-Sheet Metal Properties with Machine Learning

The Robert Bosch GmbH is seeking a highly skilled Master's student to work on a thesis project focused on developing a machine learning-based model for predicting the mechanical and magnetic properties of e-sheet metal materials.

This is a full-time, 6-month position that requires enrollment at a university. The ideal candidate will have a strong background in mathematics, computer science, physics, or engineering, as well as experience with data processing and analysis using Python and scikit-learn.

The successful applicant will be responsible for extending an existing mechanical ML model to include data relevant to magnetic properties, mining data that meet specific criteria, developing a combined data-driven model of mechanical and magnetic properties, and validating and extending existing and new ML methods with Python.

We offer a competitive salary of €25,000 - €35,000 per year, depending on qualifications and experience. In addition to a stipend, we provide a comprehensive benefits package, including health insurance, retirement plan, and paid time off.

To be eligible for this position, you must have a Master's degree in a relevant field and excellent communication skills. We value diversity and inclusion, and welcome applications from candidates with diverse backgrounds and experiences.



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