MAN Truck & Bus Group | Germany | 80xxx München | Full time | Published since: 13.10.2026 on stepstone.de
Masterthesis in the field Sound Based Predictive Maintenance
To occupy 01.01.2027
Your working environment TRATON R&D Germany GmbH is in a profound change to build a strong, global R&D organization of the Group. Our goal is to create a time-critical roadmap, provide outstanding customer benefits and drive innovations at our Scania, MAN, INTERNATIONAL and Volkswagen Truck & Bus brands. This transformation will strengthen our competitiveness and position consolidated research and development as important business partners within the TRATON Group. We are looking for you to become part of this exciting change and to help shape the future of the TRATON Group R&D. We look at the individuality of our employees as strength and look forward to various applications from people with different backgrounds. If you need support during your application, please contact us. .
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Your tasks • Your profile • What we offer
About us This master thesis is conducted within the Mechatronics, Sensors & VCA Power department and focuses on the development of a Sound-Based Predictive Maintenance (SBPM) approach for commercial vehicles. The objective is to investigate how vibration and structure-borne sound signal can be used to automatically detect mechanical defects and anomalies before You become critical failures. The work combines engineering, signal processing, machine learning, and practical validation on test vehicles.
You can look forward to these tasks Investigation of state-of-the-art methods in predictive maintenance, anomaly detection, and vibration analysis Analysis of vehicle vibration and structure-borne sound data Identification of mechanical failure modes and defect signatures Development of signal processing algorithms for feature extraction Evaluation of machine learning and deep learning approaches Creation of datasets and benchmark scenarios Validation of algorithms using real-world vehicle test data Assessment of detection performance under different operating conditions
We are looking forward to Master student in Computer Science, AI, Mechatronics, Electrical or Automotive Engineering Knowledge of Python, NumPy, Pandas and SciPy Experience with PyTorch, TensorFlow or Scikit-Learn Understanding of signal processing, vibration analysis or acoustics Strong analytical mindset and independent working style Good English communication skills
What we offer Opportunity to work on an innovative AI-based diagnostic solution with direct relevance industrial, access to real vehicle measurement data and test environments, collaboration with experienced engineers and data scientists, and the possibility to contribute to future predictive maintenance concepts within TRATON.
Has TRATON piqued your interest? We look forward to receiving your detailed application! !
Location
 | MAN Truck & Bus Group | |
| München | ||
| Germany |
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