Project Engineer in AI-Based Condition Monitoring

Project Engineer in AI-Based Condition Monitoring

80%-100%, Zurich, permanent

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.

The Machine Concepts research group at inspire AG is offering a position in the field of AI-based condition monitoring.

Project background

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.

Job description

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

Profile

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

Workplace

Workplace

We offer

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.

Curious? So are we.

Please send your full application (cover letter, transcripts, CV, references) with reference ”Condition Monitoring” to our HR department (hr@inspire.ch).

For technical questions, please contact Dr. Markus Maier, Head of Machine Concepts (markus.maier@inspire.ch).

Please also visit our websites www.inspire.ch and https://mohr.ethz.ch/.