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to serve teaching, research and innovation. As part of the ANR projects LEASARD and VORTEX, which aim to increase the navigation autonomy of drone fleets in complex environments via embedded AI and event
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the model embeddings. We will thus focus on designing a fault extraction head that could be plugged into existing geospatial foundation models. To do so, we plan to build upon our previous work on deep active
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, suitable for deployment on ARSPECTRA devices. You will work at the interface between finite-element modelling, software engineering and embedded/edge computing. Key Responasbilities: Develop and optimise
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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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. These approaches must meet the strict constraints related to embedded systems, online compatibility, real-time operation, and be implementable on a real system, taking into account the issue of aging. Additionally
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systems control Matlab and ROS software instrumentation and mechatronics Ability to work in: Windows Linux embedded systems environments planning and conducting a design of experiments Strong teamwork
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, software engineering and certification, as well as collaborative robotics, the Inria Centre at Université Côte d'Azur is a major player in terms of scientific excellence through its results and