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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | 15 days ago
addressing this question by developing advanced algorithms to derive aerosol properties from satellite limb sensors operating in the UV, VIS, and NIR ranges. This work will also involve analyzing aerosol
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Localization and Perception System based on Multi-sensor Fusion Job Description: Responsible for development of robust and reliable sensor fusion algorithms for localization and navigation algorithms of robot in
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Description The Universidad Carlos III de Madrid invites applications for a full-time technical research support position within the project DISCO6G-CM – Development and Integration of Sensors and
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sensing technology. You will refine and optimise a bespoke characterisation system, fabricate optical fibre sensors and evaluate their performance. You will also apply digital signal processing techniques
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profile. The successful candidate will primarily advance data analysis, algorithm development, modeling, and translation of complex measurements into practical decision-support, process-optimization, and
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classification of aluminium scraps and contaminants. Design and validate algorithms for multi-sensor data interpretation and sensor fusion. Conduct laboratory experiments on scrap characterisation and sorting
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structures. Integrate and evaluate algorithms on robotic platforms using Robot Operating System (ROS) and sensors such as LiDAR, cameras, and other perception systems. Conduct laboratory and field experiments
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or integrating control algorithms into physical testbeds Knowledge of predictive maintenance methods and anomaly detection techniques for complex systems Experience with sensor networks, IoT platforms, or real
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to the development of remote sensing algorithms, simulation and modeling capabilities, and artificial intelligence/machine learning (AI/ML) methods in support of the goals of the joint NASA/USGS Landsat mission
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learning, generative AI or LLM-based systems, cloud computing, and the design and validation of algorithms for high-volume quantitative or sensor-derived data. Experience with wearable data, health