PhD student for the further development and validation of a novel sensor selection methodology for autonomous driving applications

PhD student for the further development and validation of a novel sensor selection methodology for autonomous driving applications

Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living. Empa is a research institution of the ETH Domain
Development of a hybrid modelling approach combining sensors on the infrastructure and vehiclesDesign and setup of dynamic objects for the AD test trackValidation of the sensor selection methodology through real-world scenario-based investigationsPublication of results in scientific journals and presentation at national/international conferencesSupervision of students Your profile

• University Master's degree in robotics, mechanical engineering or equivalent
• Good technical knowledge and high interest in scientific work in the areas indicated above, including vehicle and sensor systems
• Interest in working in interdisciplinary teams
• Good knowledge of the German and/or English language