Project Engineer in AI-Based Condition Monitoring

ph3Project Engineer in AI-Based Condition Monitoring /h3h380%-100%, Zurich, permanent /h3pinspire 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. /ppThe Machine Concepts research group at inspire AG is offering a position in the field of AI-based condition monitoring. /ph3Project background /h3pWe 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. /ph3Job description /h3ulliDevelop hybrid physical and data-driven models for condition assessment and lifetime prediction /liliDevelop and validate AI methods to identify degradation patterns in multisensor data /liliCreate pipelines for data acquisition, preprocessing, synchronization, annotation, and model training /liliBuild and validate sensor-based laboratory test setups and carry out experimental investigations /liliValidate the developed methods in an industrial environment /li /ulh3Profile /h3pbRequired experience /b /pulliCH/EU/EFTA citizenship or a valid Swiss work permit /liliMaster’s degree (ETH, university) in mechanical engineering, mechatronics, robotics, Computer science, or a related field /liliExperience in machine learning, computer vision, signal processing, or condition monitoring /liliStrong programming skills in Python and experience working with experimental data /liliStrong interest in combining mechanical modelling, experiments, and AI for safety-critical industrial systems /li /ulpbRequired people skills /b /pulliSelf-motivated, structured, and eager to explore innovative technologies /liliStrong analytical mindset with hands-on problem-solving abilities /liliComfortable working in interdisciplinary, industry-oriented teams /liliFluency in German and English is required /li /ulh3We offer /h3pThis 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. /ph3Curious? So are we. /h3pPlease send your full application (cover letter, transcripts, CV, references) with reference ”Condition Monitoring” to our HR department ( ). /ppFor technical questions, please contact Dr. Markus Maier, Head of Machine Concepts ( ). /ppPlease also visit our websites and /p /p #J-18808-Ljbffr