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drones. You will develop SLAM that combines radar, inertial sensors, lidar and cameras, and control methods that let a drone fly alongside a ground robot and land on it. We value good collaboration skills
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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 Join us at TU Delft to reshape the future of spaceborne radar
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. The research will focus on one or more of the following areas. - Design, characterisation and calibration of cold-hardened sensor payloads for drones, for example lidar, radar, thermal cameras, event cameras and
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following areas. - Design, characterisation and calibration of cold-hardened sensor payloads for drones, for example lidar, radar, thermal cameras, event cameras and inertial sensors - Multi-sensor state
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website: https://www.esa.int/ Field(s) of activity/research for the traineeship Main objectives of the Research Fellowship Cognitive cloud computing in space (3CS) is emerging as a key paradigm for future
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 month ago
conditions. The overarching objective of the project is to develop an extensible, scalable framework that integrates structural, radar, spectral, and temporal information to continually update estimates
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 month ago
regions where ground radar and gauge networks are sparse. In the reverse direction, high-resolution precipitation fields (e.g., MRMS) provide spatially distributed validation for fine-scale soil moisture
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 month ago
-borne, and space instruments; however, the hardware, firmware, and software approaches developed have diverse applications including space-based interferometry and advanced radar systems. The successful
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. Particular emphasis will be placed on scientific ability within the subject area. The following knowledge areas will form the basis for assessment: Quantitative remote sensing, including optical and radar data
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At AAU Energy, a position as Postdoc in AI and Deep Learning for Radar-Based Non-Destructive Testing is open for appointment from 01.10.2026 or as soon as possible hereafter. The position is