Masterthesis in the field Sound Based Predictive Maintenance

Zu besetzen ab

01.01.2027

Dein Arbeitsumfeld

TRATON R& D Germany GmbH befindet sich in einem tiefgreifenden Wandel, um eine starke, globale R& D-Organisation des Konzerns aufzubauen. Unser Ziel ist es, eine zeitkritische Roadmap zu erstellen, einen herausragenden Kundennutzen zu bieten und Innovationen bei unseren Marken Scania, MAN, INTERNATIONAL und Volkswagen Truck & Bus voranzutreiben. Diese Transformation wird unsere Wettbewerbsfähigkeit stärken und die Konzernforschung und -entwicklung als wichtigen Geschäftspartner innerhalb der TRATON Gruppe positionieren. Wir suchen Dich, um Teil dieser aufregenden Veränderung zu werden und die Zukunft der TRATON Group R& D mitzugestalten. Wir sehen Individualität unserer Mitarbeitenden als Stärke an und freuen uns über vielfältige Bewerbungen von Personen mit unterschiedlichen Hintergründen. Falls du während deiner Bewerbung Unterstützung benötigst, melde dich bitte bei uns.

Das Aufgabenfeld

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 signals can be used to automatically detect mechanical defects and anomalies before they become critical failures. The work combines vehicle 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

Das Wunschprofil

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 industrial relevance, 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!

Kontaktinformationen

Job information

Reference number: 6404

Claudia Wünsche, [email protected], will be happy to answer any questions about HR you may have.

The contact person for the department is: Sebastian Siegl, [email protected] .

Integrity and compliance are essential parts of our corporate culture.

We promote diversity and equal opportunities and look forward to receiving diverse applications.