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Field
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sensors systems, 2D/3D cameras and LiDAR, inertial sensors, radar technologies, GPS, and calibration methods Real experience in designing, implementing and testing of robust, efficient perception algorithms
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to source localization based on microphone arrays or distributed sensors. This PhD project will focus on the development of novel methods and algorithms for airborne noise source localization in generic urban
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radar prototype for remote vital sign sensing. The RA will help our team in the various project tasks that involve implementing different parts of the radar, including but not limited to: modifying
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. Its role is pivotal in the overall performance and safety of the vehicle, underscoring the importance of our work in this field. Various algorithms, models, and signals control different components
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3D integration and flexible electronics. These nano and microtechnologies form the foundation of our diverse fields of expertise, which include sensor technology, circuit design, system solutions with
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. It will use signals from different sources—such as radio signals and internal sensors— to maintain robust and accurate PNT, even when satellite signals are weak or missing. A built-in intelligent
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selectivity is the first important barrier to overcome in order to perform quantitative analyses for each pollutant and avoid ionic interference between the different sensors used in the project. Sensor
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to dispersed systems: grains, particles, droplets, bubbles, and porous media. It also has expertise in sensor and instrumentation development. The PhD will be carried out in collaboration with the NEEL Institute
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continuum robotic hardware systems Integration of miniaturized actuators and sensors into continuum robotic platforms Calibration and experimental validation of the developed robotic systems, including
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to develop human-centred RL algorithms to shape