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.
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A propos de l'employeur
Empa, the Swiss Federal Laboratories for Materials Science and Technology, conducts cutting-edge materials and technology research.
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