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Field
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Group , a leader in innovative multi-sensor atmospheric remote sensing from ground, airborne, and satellite platforms. Our group develops advanced algorithms and data analysis methods to address
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of wearable devices Knowledge of mechanical design, mechatronics, actuation, control systems, wearable sensors and/or biomechanics Ability to work in a challenging and international environment Capacity to work
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orally and in writing. Knowledge of prototyping, specifically control (PID, MPC, optimal/robust, learning-augmented); perception & planning; sensor fusion; calibration; system identification. Programming
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domains Hands-on experience with robotic hardware (e.g., robot arms, tactile sensors) Familiarity with model-based planning approaches, robot force/motion control, and reinforcement learning Proficiency in
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the ability to controllably engineer diamond surfaces to enable future advanced applications of diamond electronic and quantum devices and sensors. Fundamental studies using highly controlled exposures
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movements can be preceded by slow movements lasting from several days to several years. These movements can be detected and tracked by satellites, either using radar or optical sensors. Since 2016, data from
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candidate will join for 100% of their time the research team implementing the project DAEMON-AI: Detection and Active Elimination of Malicious anomalies through Ongoing Network, sensor, and behavioural
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of the two cables, conventional multiplexed DAS on the first span, and contemporaneous recordings from a rich suite of oceanographic, seismic, and acoustic sensors on the OOI RCA. Potential areas
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Applications are invited for a one-year Postdoctoral Research Fellow position with Professor Avi Loeb at Harvard University, leading the scientific commissioning and operation of a multi-sensor observatory
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techniques based on 3D sensor perception and deep learning to estimate forest tree structure from high-resolution drone-based LiDAR point clouds and imagery contribute to a world-leading large-scale forest