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

We are searching for a confident PhD student for the further development and validation of a novel sensor selection methodology for autonomous driving applications to join our amazing team at Empa in Dübendorf Zurich
Growing your career as a Full Time PhD student for the further development and validation of a novel sensor selection methodology for autonomous driving applications is a fantastic opportunity to develop exceptional skills.
If you are strong in cooperation, presentation and have the right drive for the job, then apply for the position of PhD student for the further development and validation of a novel sensor selection methodology for autonomous driving applications at Empa today!

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

Benefits of working as a PhD student for the further development and validation of a novel sensor selection methodology for autonomous driving applications in Dübendorf Zurich:

● Learning opportunities
● Company offers career progression opportunities
● Advantageous package