Project Engineer - AI-Based Condition Monitoring

inspire AG is Switzerland’s leading competence center for product innovation and advanced manufacturing. As a strategic partner of ETH Zurich, our mission is to transfer knowledge and technology from academic research into the Swiss mechanical, electrical, and metal industries.

We are seeking a motivated engineer to join our team for a funded innovation project with a Swiss industrial partner. 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.

Your 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

Required Experience

· 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

Required People Skills

· 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

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.

Please send your full application (cover letter, transcripts, CV, references) with reference ”Condition Monitoring” to our HR department ([email protected]). Please do not apply via LinkedIn, as such applications will not be considered.

For technical questions, please contact Dr. Markus Maier, Head of Machine Concepts ([email protected]). Please also visit our websites www.inspire.ch and https://mohr.ethz.ch/.