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.

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

Your tasks

• 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

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

Our offer

• 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

We live a culture of inclusion and respect. We welcome all people who are interested in innovative, sustainable and meaningful activities - that's what counts.

We look forward to receiving your complete online application including a letter of motivation, CV, certificates, diplomas and contact details of two reference persons. Please submit these exclusively via our job portal. Applications by e-mail and by post will not be considered.