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inspire AG is Switzerland’s leading competence center for product innovation and advanced manufacturing. As a strategic partner of ETH Zurich, the mission is to transfer knowledge and technology from academic research into the Swiss mechanical, electrical, and metal industries. The Machine Concepts research group at inspire AG is offering a position in the field of AI-based condition monitoring. The focus is on sensor-based and model-based methods for real-time condition assessment and predictive maintenance of safety-critical mechanical systems. The work combines multisensor data, AI methods, physical models, experiments, and industrial validation.

Tasks

  • 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

Requirements

  • CH/EU/EFTA citizenship or a valid Swiss work permit
  • Master’s degree (ETH, university) 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
  • Strong interest in combining mechanical modelling, experiments, and AI for safety-critical industrial systems
  • Self-motivated, structured, and eager to explore innovative technologies
  • Strong analytical mindset with hands-on problem-solving abilities
  • Comfortable working in interdisciplinary, industry-oriented teams
  • Fluency in German and English is required

Benefits

This role offers a unique opportunity to work at the intersection of AI, sensor technology, mechanical modelling, and industrial experimentation. You will develop and validate advanced condition-monitoring methods, from laboratory experiments and modelling to industrial application. The position combines academic depth with hands-on engineering and offers excellent growth opportunities in applied research and development.

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Über uns
Die ETH Zürich ist eine technisch-naturwissenschaftliche Hochschule des Bundes mit Sitz in Zürich. Wir betreiben Lehre, Forschung und Wissenstransfer in Bereichen wie Ingenieurwissenschaften, Naturwissenschaften, Architektur, Mathematik, Informatik, Management sowie Sozial- und Geisteswissenschaften. Unsere Ausbildung umfasst Bachelor-, Master-, Doktorats- und Weiterbildungsangebote und ist eng mit internationaler Spitzenforschung verbunden. Als Teil des ETH-Bereichs entwickeln wir wissenschaftliche Grundlagen, Technologien und Lösungen für Gesellschaft, Wirtschaft und globale Herausforderungen.
Das Team

The Machine Concepts research group at inspire AG collaborates with a Swiss industrial partner on innovation projects, working in interdisciplinary, industry-oriented teams.

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