• Are you inspired by the prospect of shaping the future of autonomous driving?
• Are you fascinated by the latest developments in self-supervised learning and generative models?
• Are you excited to work on perception tasks for safety-critical systems using the next-generation automotive radar?
• Then apply for the PhD position on Deep Learning Perception for Automotive 4D Imaging Radar!
Autonomous driving is a key application of artificial intelligence generally, and vehicle perception specifically. Contemporary autonomous driving systems utilize various sensors, such as cameras, radar, and LiDAR. Recent developments in automotive radar technology have led to the emergence of a new class of sensors, 4D Imaging Radar. This technology can be a key enabler for Level 4 and Level 5 autonomy due to its additional vertical information, high density, and robustness.
Consequently, this requires the development of novel deep-learning methods that can process Imaging radar data on resource-constrained devices, and perform standard automotive perception tasks, such as object detection and collision prediction. Moreover, due to the real-life complexity of such tasks in urban conditions, and the many edge cases that can be encountered, it is practically impossible to gather all-encompassing training data.
This PhD project is designed to research various deep-learning methods to perform vehicle perception tasks, such as collision risk prediction, using imaging radar data. The aim is to increase the generalization capabilities of those prediction models for rarely occurring scenarios. To this end, it will be necessary to not only consider mathematical and technical details of deep learning but also the understanding of signal processing systems and working principles of 4D Imaging radar technology.
More specifically, research tasks will include:
An ideal candidate will combine technical expertise in deep learning, signal processing, and automotive sensing. You are strongly interested in the application of next-generation radar technology and robust perception in the context of road participants’ safety. Next, you have good programming experience and are passionate about artificial intelligence, computer science, and autonomous driving.
The candidate will be integrated into the Mobile Perception Systems (MPS) lab within a newly forming Automated Vehicle Test Facility (AVTF). You will actively collaborate with NXP researchers.
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
About us
Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.
Curious to hear more about what it’s like as a PhD candidate at TU/e? Please view the video.
Do you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager Dr. Gijs Dubbelman, g.dubbelman@tue.nl.
Visit our website for more information about the application process or the conditions of employment. You can also contact HR Services, email HRServices.Flux@tue.nl.
Are you inspired and would like to know more about working at TU/e? Please visit our career page.
Application
We invite you to submit a complete application by using the apply button.
The application should include a:
We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.