AI-Driven Condition Monitoring Engineer

Master in Integrated Building Systems ETH Zürich; Zürich; Vor Ort; CHF 110.000 - 160.000; Vollzeit

Zusammenfassung

inspire AG, Switzerland's leading competence center for product innovation and advanced manufacturing, in collaboration with ETH Zürich, invites engineers to join the Machine Concepts group for an AI-based condition monitoring project in Zurich. The role combines multisensor data, AI methods, and physical models to assess lifetime and predict maintenance for safety-critical mechanical systems.

You will develop hybrid models, validate AI approaches on multisensor data, and create data pipelines

Qualifikationen

• Master's degree in mechanical engineering, mechatronics, robotics, computer science, or a related field.
• Experience in machine learning, computer vision, signal processing, or condition monitoring.
• Strong programming skills in Python and experience working with experimental data.

Aufgaben

• Develop hybrid physical and data-driven models for condition assessment and lifetime prediction.
• Develop and validate AI methods to identify degradation patterns in multisensor data.
• Create pipelines for data acquisition, preprocessing, synchronization, annotation, and model training.
• Build and validate sensor-based laboratory test setups and carry out experimental investigations.
• Validate the developed methods in an industrial environment.

Kenntnisse

Machine learning

Computer vision

Signal processing

Condition monitoring

Python

Ausbildung

Master's degree in mechanical engineering, mechatronics, robotics, or computer science

Tools

Python

Jobbeschreibung

inspire AG, Switzerland's leading competence center for product innovation and advanced manufacturing, in collaboration with ETH Zürich, invites engineers to join the Machine Concepts group for an AI-based condition monitoring project in Zurich. The role combines multisensor data, AI methods, and physical models to assess lifetime and predict maintenance for safety-critical mechanical systems.

You will develop hybrid models, validate AI approaches on multisensor data, and create data pipelines