AI-Based Condition Monitoring Engineer (Hybrid Physics/Data)

ETH Zürich; Zürich; Vor Ort; CHF 120.000 - 160.000; Vollzeit

Zusammenfassung

inspire AG, in collaboration with ETH Zurich, seeks an engineer to advance AI-based condition monitoring for safety-critical mechanical systems. The role focuses on developing hybrid physical and data-driven models, validating AI methods on multisensor data, and creating end-to-end pipelines from data acquisition to model deployment.

You will build laboratory setups, run experiments, and validate results in an industrial environment, contributing to a funded innovation project with a Swiss

Qualifikationen

• Master's degree in a relevant field as stated in the profile.
• Experience in ML, computer vision, signal processing, or condition monitoring.
• Strong programming skills in Python and 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

Ausbildung

Master's degree in mechanical engineering

Master's degree in mechatronics

Master's degree in robotics

Master's degree in computer science

Jobbeschreibung

inspire AG, in collaboration with ETH Zurich, seeks an engineer to advance AI-based condition monitoring for safety-critical mechanical systems. The role focuses on developing hybrid physical and data-driven models, validating AI methods on multisensor data, and creating end-to-end pipelines from data acquisition to model deployment.

You will build laboratory setups, run experiments, and validate results in an industrial environment, contributing to a funded innovation project with a Swiss