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Scientific Assistant in Industrial Robotics and Manufacturing

ETH Zürich

Suiza📅 16/10/2026

Descripción

The Advanced Manufacturing Lab (am|z) at ETH Zurich, led by Prof. Markus Bambach, is seeking a highly motivated Scientific Assistant to contribute to research and development in industrial robotics, automated manufacturing, and metrology. We are looking for a candidate who combines strong programming skills with hands-on experience in robotic hardware, enjoys solving challenging technical problems, and can independently develop and implement robotic solutions. The position offers the opportunity to take ownership of experimental robotic systems, develop innovative automation solutions, and contribute to scientific research in advanced manufacturing. The Advanced Manufacturing Lab at ETH Zurich investigates innovative manufacturing technologies by combining robotics, automation, process engineering, and data-driven methods. Our research aims to make industrial robotic systems more flexible, accurate, autonomous, and reliable. Applications include robotic manipulation, pick-and-place operations, and manufacturing processes such as welding, adhesive bonding, and drilling. Beyond conventional robot programming, we investigate methods for improving robotic capabilities through sensing, metrology, calibration, process monitoring, and data-driven approaches. Our work combines the development of practical robotic systems with experimental validation and scientific investigation. Your main responsibilities will include: Independently develop, program, and operate industrial robotic systems for automated manufacturing and manipulation tasks Design and implement robotic applications, including pick-and-place operations, welding, adhesive bonding, drilling, and related manufacturing processes Integrate robotic hardware, including end-effectors, sensors, measurement equipment, tooling, and peripheral systems Develop and maintain software for robot control, motion planning, and automation, using version control, automated testing, and deployment workflows Design and implement aut
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