Are you eager to make the next generation car radars? Do you want to enable future cars with the options of turning at will into autonomous driving robots? Do you want to eliminate the accidents in the city streets? This is a unique opportunity in which we would like to explore together the possibilities of combining concepts from the fields of Artificial Intelligence, Integrated Circuits, and ADC design, in order to enable the next generation of radars in 140GHz that convert analog signals into meaningful information. We want to use the results of this research in order to create some of the first demonstrators of the next generation car radars together with our industrial partner NXP.
In this position, you will combine your passion for integrated circuit design with the state-of-the-art achievements from the fields of data converters, RF front-ends, artificial intelligence, and algorithms and architectures for radars. Your work will be guided by supervisors from both Integrated Circuits and Signal-Processing area, while also being closely aligned with the application via our collaboration with NXP.
Eindhoven University of Technology (TU/e) is an internationally oriented research university, specialized in engineering, science and technology. TU/e is known for its major scientific impact and development of technological innovations. Our university is at the heart of society: TU/e focuses on complex societal challenges by specifically targeting three Strategic Areas with education and research: Energy, Health, and Smart Mobility.
The Department of Electrical Engineering (EE) is one of the most successful departments in the Netherlands in the field of research in collaboration with industry. The department currently has approximately 1200 Bachelor and Master students and more than 300 PhD students.
Responsibilities
You are responsible for developing and implementing key architectural and circuits related aspects of a wireless receiver being developed with the project 'Multi-mode high-resolution automotive radar with dense analog to information converter arrays (Mi-RAYS)'. This project defines three trajectories: a) the interface between the IC and the antennas; b) the power-efficient transmitter; c) information driven Data Converter architectures for MIMO radars. There are already PhD-students working on the first two trajectories, while for the third trajectory we have the present vacancy and we actively search for suitable candidates, who are eager to assume responsibilities for answering key research questions like:
- Can we justify acquiring radar data at such high rates (hundreds to thousands of Gbits/s) when the important - actionable - information rate is small?
- How can we optimize the conversion function of a whole MIMO ADC array to the information it is supposed to generate, exploiting the richness of information available in the scene of observation?
- How can we optimize the conversion function in the radar without compromising functional safety needs to monitor the whole scene continuously for threats?
- How can we optimize the power efficiency and energy per conversion bit?
- How can we combine the MIMO and beamforming arrays and accommodate range doppler processing that allows obtaining information about the scene of observation?
- How can we use modern AI functions (e.g. task-adaptive compressed sensing to derive domain optimized conversion and associated use of conversion resources (sampling rate, SNR, etc.) tailored for the information residing in the scene of observation?
The PhD research needs to be concluded in 4 years. A possible work plan with milestones can be:
- Year 1: requirement analysis, proposal and first proof of principle with simulations: AI algorithms that control hardware (MIMO) ADC, taking into account the application driven constraints (automotive radar).
- Year 2: initial test chip and demo (relaxed requirements, lower speeds; mainly test interaction between AI and ADC)
- Year 3 -4: final test chip and proof of concept (optimized requirements, high-speed operation)
- Year 4: PhD thesis and defense.
Similar Positions
-
Ph D On Deep Learning Perception For Automotive 4 D Imaging Radar, Eindhoven University of Technology, Netherlands, about 22 hours ago
Irène Curie Fellowship No Department(s) Electrical Engineering Reference number V36.7369 Job description • Are you inspired by the prospect of shaping the future of autonomous driving? • Are...
-
Ph D Position Distributed & Adaptive Radar For Human Wellbeing Monitoring, Delft University of Technology, Netherlands, about 20 hours ago
We seek a motivated PhD student to work on a 4-year NWO funded project called DARE (Distributed and Adaptive Radar for Enhanced Sensing and Classification). The goal of this project is to work tow...
-
Ph D Position Distributed & Adaptive Radar For Drone Monitoring, Delft University of Technology, Netherlands, about 20 hours ago
We seek a motivated PhD student to work on a 4-year NWO funded project called DARE (Distributed and Adaptive Radar for Enhanced Sensing and Classification). The goal of this project is to work tow...
-
Prestigious Industrial Ph D Student Position On “Precise Positioning With Rf”, Eindhoven University of Technology, Netherlands, about 22 hours ago
Irène Curie Fellowship No Department(s) Electrical Engineering Reference number V36.7388 Job description This position will be in the program line PL1 “Intelligent Components’ of the Dutch Growthf...
-
Ph D's On Neuromorphic Computing & Engineering: Algorithms&Hardware Architectures, Eindhoven University of Technology, Netherlands, about 22 hours ago
Irène Curie Fellowship No Department(s) Electrical Engineering Reference number V36.7370 Job description The Neuromorphic Edge Computing Systems (NECS) Lab at the Eindhoven University of Technolog...
-
Ph D Position Advanced Calibration And De Embedding Approaches For Sub Mm Wave Up To 500 G Hz, Delft University of Technology, Netherlands, about 19 hours ago
Technology is evolving so fast that 5G and 6G will be obsolete soon. We better start working on the Next Generation (XG) communication and sensing applications. Join the XG research group at TU De...