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 or segmentation. The design of those methods can be guided via hardware-aware neural architecture search (NAS).
This PhD project is designed to research various NAS methods and specialize them for Imaging Radar data under the constraints of a given hardware platform. To this end, it will be necessary to not only consider mathematical and technical details of NAS, but also the understanding of embedded systems, signal processing, and working principles of 4D Imaging radar technology.
More specifically, research tasks will include:
An ideal candidate will combine technical expertise in deep learning and embedded systems. You are strongly interested in the automation of neural architecture design. 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). They will be a member of the LTP ROBUST consortium funded by NWO and of the EAISI institute at TU/e.
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:
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.
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Do you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager Dr. Pavol Jancura, p.jancura[at]tue.nl.
Visit our website for more information about the application process or the conditions of employment. You can also contact HR Services, HRServices.Flux[at]tue.nl.
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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.