Are you eager to make the next generation car radars? Can future cars turn 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 Integrated Circuits, ADC design, and Artificial Intelligence in order to enable the extraction of meaningful information from the environment. We want to use the results of this research to create demonstrators of the next generation car radars, which are based on our own original Integrated Circuits (IC) prototypes.
In this position, you will combine your passion for analog and mixed-signal IC 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 and the world-leading experts in the field.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 will be 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 from the IC perspective, like:
- Can we justify acquiring radar data at 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, exploiting the richness of information available in the scene of observation, in the context of modern CMOS IC processes?
- 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?
- What circuit level solutions should we use to realize the radar ADC function in a modern CMOS IC process node?
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 IC 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.