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transport, leveraging in-situ and indirect measurements such as geophysical and/or remote sensing observations.Conducting fieldwork in Greenland, including UAV-based sampling campaigns and vibroseismic
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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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systems (e.g., UAVs or robots), or High-availability networking infrastructures (e.g. 5G and beyond) will be considered as a plus. In this multi-disciplinary national project we seek candidates with strong
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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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, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications include: expertise in programming and coding (preferably using Python and C++) and GUI development
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vehicle fleets. A key focus will involve characterizing and modeling noise from emerging urban air mobility (UAM) operations, integrating UAV noise with road traffic for comprehensive urban soundscape
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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. surveillance