PhD student for the further development and validation of a novel sensor selection methodology for autonomous driving applications
- Development of a hybrid modelling approach combining sensors on the infrastructure and vehicles
- Design and setup of dynamic objects for the AD test track
- Validation of the sensor selection methodology through real-world scenario-based investigations
- Publication of results in scientific journals and presentation at national/international conferences
- Supervision of students
- 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
- Interesting and responsible tasks in the field of applied-research
- Development opportunities in an economically and socially important field
- Contacts to international partners, customers and suppliers
- Attractive working conditions of the ETH Domain
Dübendorf / St. Gallen / Thundorf