Tenure Track Assistant Professor in in Soft Robotics and Bioinspired Systems

This tenure track assistant professor position in soft robotics and bioinspired systems requires expertise in the interdisciplinary fields of robotics, materials science, and biological inspiration. Candidates should have a strong foundation in designing and developing soft robotic systems that emulate biological organisms, involving knowledge of compliant materials, actuation mechanisms, and sensing technologies. A deep understanding of bioinspired design principles and the ability to translate biological concepts into functional robotic applications is essential. Proficiency in programming and simulation tools commonly used in robotics research, such as MATLAB, Python, ROS, or finite element analysis software, is expected. Experience with experimental methods to fabricate and test soft robotic prototypes, including microfabrication, 3D printing, and soft material characterization, is advantageous. The role likely involves conducting independent research, securing funding, publishing in peer-reviewed journals, and teaching at the graduate and undergraduate levels. Candidates should demonstrate strong analytical and problem-solving skills, interdisciplinary collaboration capabilities, and a commitment to advancing knowledge in soft robotics and bioinspired systems. While specific experience and education levels are not provided, a doctoral degree in robotics, mechanical engineering, bioengineering, or a related field is typically required for such academic positions. Overall, the position demands a blend of theoretical knowledge, practical skills in soft robotics development, and academic excellence to contribute to both research and education in this emerging area.