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including sensor fusion and active vision, supervise junior researchers, and help attract new projects. There is room for both fundamental theoretical research, where the emphasis is mainly on new techniques
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investigates ways to map and monitor environmental parameters, such as air quality, using sensor networks. It is the intention that you develop original techniques or algorithms and publish them at conferences
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, hybrid AI, machine learning, time series analysis, anomaly/event detection, etc., with applications in the health care sector. Job Description The omnipresence of sensors causes a growth of data that
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product design. Experience with microcontrollers and good programming skills is a plus. You have a basic knowledge of electronics and sensors. You work in a well-structured, thorough way and are able
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-modulated continuous-wave (FMCW) LiDAR transceivers. Light Detection and Ranging (LiDAR) is a 3D sensing technology based on laser light to measure the distance between an object and the sensor that holds
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, erosion, weeds and pests and soil moisture balances. 4) Development and validation of sensor-based methods for the quantification of the agronomic value and ecosystem services provided by leguminous crops
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focusing on autonomous systems that use complex machine learning models to extract information from high-rate, high-dimensional sensors such as radar or hyperspectral cameras. You will design novel
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, a.o., biomanufacturing. Job Description The availability of novel sensors causes an important growth of data that offers the potential for a revolutionary transformation in the biomanufacturing sector
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alter our everyday exposure to environmental RF-EMF. Smart-city networks are starting to apply RF-EMF monitoring of the radiation of these wireless communications using geographically distributed sensors
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, hybrid AI, machine learning, time series analysis, anomaly/event detection, etc., with applications in the health care sector. Job Description The omnipresence of sensors causes a growth of data that