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Localization and Mapping) algorithms to enable reliable navigation of the UUV relative to the USV and the environment. This includes handling the challenging conditions of subsea localization (limited GPS, murky
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advantageous. Underwater or field robotics experience: Previous work with marine or mobile robotics platforms is an asset. Understanding the limitations of underwater sensing and navigation will benefit the
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with academic institutions abroad. Your primary tasks will be to: Perform internationally relevant research in planning, guidance, navigation and control of AUVs operating in partly structured
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collaboration with industry stakeholders. You should thrive in an interdisciplinary environment and be able to navigate between academic rigor and industrial relevance. Experience with teamwork dynamics, agile
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to efficiently navigate high-dimensional decision spaces, leveraging open-source agent-based simulation tools to evaluate accessibility and environmental impacts of urban planning policies. You should have an MSc
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valued member of our team, your insights and expertise will be pivotal in navigating the challenges of power solutions for future HPC system, focusing on enhancing their efficiency, reducing size, and
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and effectively navigating interdisciplinary collaboration. A proactive, positive attitude and demonstrated ability to take initiative in academic or professional settings. Experience managing research
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and rapid prototyping, Mechatronic design and implementation of drones (ground, aerial or underwater), Advanced control engineering, Guidance, Navigation and Control of autonomous vehicles, PCB design