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. The candidate will contribute to the mechanical design, composite fabrication, and experimental validation of UAV structures, integrating morphing wings and additive manufacturing processes for high-performance
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methods, including UAV-based landscape mapping, terrestrial and freshwater eDNA, passive acoustic and camera monitoring, and novel sensor and logger networks for real-time analysis of greenhouse gas
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methods, including UAV-based landscape mapping, terrestrial and freshwater eDNA, passive acoustic and camera monitoring, and novel sensor and logger networks for real-time analysis of greenhouse gas
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communication skills Ability to work in a team setting and be self-motivated Other Requirements: Established publication record in peer reviewed journals Preferred Qualifications: Experience with GIS, UAV data and
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 6 hours ago
using remote sensing technologies (including UAVs) in the field, etc. - Remote sensing applications, including image analysis and Geographic Information Systems (GIS) - Computer science and informatics
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analytics. The research assistant will develop real-time flight control algorithms, AI- based data processing, and mission management platforms, contributing to the deployment of smart UAV demonstrators under
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collection across a wide range of platforms and methods, including ROV, AUV, and diver surveys, vessel‑based acoustic and video surveys, satellite-, in situ instrumentation, and aircraft-, and UAV‑based
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innovation. Your Responsibilities You will contribute to research activities including: Designing MLOps pipelines for autonomous and AI-enabled cyber-physical systems (AI-CPS), including UAVs and other
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be defined at two levels: SAACD Component: This is a UAV made up of hardware and software sub-systems, capable of observing, predicting, deciding and reconfiguring itself to fulfil its mission (e.g
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opportunity for you. HYDRA-EO focuses on the multi-scale detection of biotic and abiotic stress in Mediterranean crops using UAV hyperspectral and thermal imagery, radiative transfer modelling, agronomic field