Masterarbeit Condition Monitoring (all genders)
Core
Develop predictive maintenance models using machine learning and AI to analyze sensor data from industrial machinery and detect wear.
Role type
Master's thesis researcher (Condition Monitoring)
Builds
Predictive wear detection models for industrial tooling machines
Domain
Aerospace / Industrial IoT / Predictive Maintenance
Deliverable
production ML models
Required skills
Machine learning, Python programming, sensor data analysis, feature engineering, experimental design
Preferred skills
Industrial context experience, wear analysis
Technologies
Python, Machine Learning, AI
Responsibilities
Research state-of-the-art AI-based condition monitoring approaches, develop wear-sensitive features from historical measurement data, implement ML models for automatic wear detection, conduct experiments to identify effective wear detection methods, derive actionable recommendations from results
