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Masterarbeit zur datengetriebenen Kraftvorhersage beim Rotationsschleifen in der Halbleiterindustrie (w/m/div.)

Bosch

Renningen · Posted Jul 27

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Master thesis project in data-driven force prediction for rotational grinding in the semiconductor industry. Analyze existing force modeling approaches and apply machine-learning techniques for sequence-to-sequence regression on time-series data (e.g., symbolic regression, CNNs, and PyTorch/TensorFlow). Prepare and feature-engineer time-series data, implement and train ML frameworks, and evaluate models using metrics such as RMSE and MAE, considering computational effort and interpretability. This 6-month project requires on-site presence in Renningen, Germany, and university enrollment.

What they are looking for

Python Scikit-learn Tensorflow Pytorch Pandas

Details

Work type
Onsite
Remote eligible
No

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