Abschlussarbeit Entwicklung eines ML-Modells zur Anomalieerkennung

About the role

STIHL Waiblingen thesis developing ML anomaly detection on test-rig sensor time series. Python, ML and Databricks advantageous; very good German required. 1.000 €/month.

Requirements

• Current CS or comparable enrollment
• Python, ML and Databricks advantageous
• Very good written and spoken German

What you'll do

• Process sensor time series
• Implement/evaluate ML anomaly detection and plan production use

Where this was posted

• LinkedIn

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