Postdoctoral Researcher Radar and Imaging Sensor Fusion
Imec is the world-leading research and innovation hub in nanoelectronics and digital technologies. The combination of our widely acclaimed leadership in microchip technology and profound software and ICT expertise is what makes us unique. By leveraging our world-class infrastructure and local and global ecosystem of partners across a multitude of industries, we create groundbreaking innovation in application domains such as healthcare, smart cities and mobility, logistics and manufacturing, and energy.
As a trusted partner for companies, start-ups and universities we bring together close to 3,500 brilliant minds from over 70 nationalities. Imec is headquartered in Leuven, Belgium and also has distributed R&D groups at a number of Flemish universities, in the Netherlands, Taiwan, USA, China, and offices in India and Japan. All of these particular traits make imec to be a top-class employer. To strengthen this position as a leading player in our field, we are looking for those passionate talents that make the difference! Currently we are looking for a motivated Postdoctoral Researcher Radar and Imaging Sensor Fusion with significant experience in signal/image/video processing, pattern analysis and machine intelligence to join our sensor fusion team.
Imec has a substantial and growing program on millimeter-wave radar sensors. Our activities include the complete implementation in a CMOS SoC of the millimeter-wave front-end, ADC and high-speed digital part for the ranging, Doppler and angular processing. The so-called radar data cube produced by such radar must then be processed in a flexible high speed processor for functions of detection, tracking and ultimately classification. For smart applications or improved performance, radars together with cameras, observing the same scene, can be deployed. Their outputs are communicated to a sensor fusion platform where streams come together for further processing.
The job will consist in helping the team to develop algorithms for radar- and/or camera-based classification and sensor fusion. Fusion will be at the level of detection, localization, tracking and classification. This will be applied in different contexts including smart mobility, smart home/building, e-health and surveillance/security.
Next to the theoretical understanding, a crucial aspect will be to bridge the gap between theory, simulations and practical, small form factor and real-time implementations.
This job comes from a partnership with Science Magazine and