Masterarbeit Datenanalyse und Anomalieerkennung in Antriebsstrangkomponenten (w/m/x)

Support research in drive train development and fault diagnosis by analyzing existing bus-trace data sets, develop methodological work on analysis results interpretation, and apply traditional statistical methods and modern machine learning algorithms.

Requirements

• Master's degree in Computer Science, Data Science, Electrical Engineering, Mechanical Engineering, or comparable
• In-depth knowledge of data analysis, signal processing, and machine learning
• Programming experience in Python
• Safe handling of MS Office (Excel, Word, PowerPoint)
• Interest in vehicle technology, drive train components, and statistical methods
• Structured work style and team ability
• Good German and English language skills

Benefits

• Comprehensive mentoring & onboarding
• Personal and professional development
• Flexible working hours
• Mobile work
• Attractive and fair remuneration
• Apartments for students (subject to availability and only at the Munich location)