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Research Framework Programme? Not funded by a EU programme Reference Number 166762 Is the Job related to staff position within a Research Infrastructure? No Offer Description Development of LiDAR data
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team also has experience with multi-sensor systems including lidar, inertial sensing within the context of real-time SLAM and autonomous exploration. The researcher will have the opportunity to establish
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Systems (ADAS) and Automated Vehicles (AVs) beyond traditional camera, radar, and lidar sensors. Unlike these sensors, which require direct line-of-sight, acoustic detection captures traffic sounds like
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qualifications: Ph.D. in Forest Resources Experience working with lidar data and appropriate algorithms Experience with GIS and remote sensing Knowledge of natural resource science as it applies to forestry Pay
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, data-driven methods for meshfree simulation directly on large-scale LiDAR point clouds. Job description Accurate urban wind simulations are vital for understanding microclimate, urban heat, and pollutant
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of the following activities: Sensor Integration and Robotic PerceptionExpertise in sensor fusion and sensor calibration; Experience with LiDAR, RGB-D/multimodal cameras, GNSS, IMU, UWB sensors, and IoT devices
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from heterogeneous geospatial data such as LiDAR point clouds, aerial orthophotos, street‑level imagery, and map/cadastral information. A central requirement is topological correctness—watertight
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. CESBIO is organized into two research teams (modeling and observation systems) and maintains a strong international outlook through collaborations and missions abroad. Where to apply Website https
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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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, metrology, lidar, and computing (quantum, neuromorphic, optical) are now shaping its future. Key technology trends include higher electrical modulation bandwidths, lower energy loss, robust circuits