Postdoc position in light multiplexed, fiber-based artificial sensorimotor network

Based on existing light actuators in our group, develop self-sensing methods where the transducer serves both for actuation and sensing, and is feedback controlled with onboard optoelectronics. Design and microfabrication of a soft optical fiber distributed with such transducers configured for multiple modalities, and enable individual addressability through light multiplexing, based on the group’s expertise. Demonstrate the single artificial neuromuscular fiber for advanced robotic functions arising from the distributed and multimodal actuators and sensors. In the second part, create grouped neuromuscular bundles with extremely high functional density approaching orders of magnitude of biology. Investigate emergent coordinated bundle behavior and motion patterns arising from biologically similar redundancy with collaborations of control and learning. Demonstrate for advanced robotic functions. Supervise master/bachelor students. Teaching assistant for the robotic materials class.

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.

• PhD degree in Robotics, Mechanical Engineering, Materials Science and Engineering or related fields from a top university

• Strong research track records in one or more of the following: micro robots, soft robotics, fiber-based robots, or related

• Hands-on experience in robot design, prototyping, experimental characterization, and TRL 3-5 demonstration

• Knowledge of reconfigurable/multifunctional microrobots, small-scale soft robotics, feedback controlled soft robotic systems is highly desirable

• Excellent problem-solving abilities and a passion for interdisciplinary research