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Multi-Sensor Data Fusion and Smart Decision Making School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova Application Deadline: Applications
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will collaborate at the development of innovative methodologies for the detection and tracking of objects with radar and optical sensors. The techniques will be applied to the protection of aircraft in
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workflows for engineering design and optimization of fusion reactors and facilities needed on the path to a Fusion Pilot Plant (FPP). The Principal Research Scientist (Managing) will also deploy and use those
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an autonomousmanner, only within the limits of the research program available on the web address (Number 290) https://www.uniud.it/it/albo-ufficiale Research assignment financed by INTERREG IT-HR 2021-2027 BRIGANTINE
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collaboratively with cross-functional teams. You are a responsible, communicative and flexible person. Your English is fluent, both spoken and written . Bonus points: Expertise with sensor fusion approaches and
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Lyudmila Mihaylova Application Deadline: Applications accepted all year round Details This PhD research is focused on multi-sensor data fusion for decision making. The project aims at dealing with large
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, robust, and trustworthy robotic technologies. Your research will span core challenges such as robot control, decision-making under uncertainty, multimodal information fusion, and foundational models
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strong expertise in field robotics. Specific application areas of focus are robotics for mines, aerial inspection of aging infrastructure, multi-robotic search and rescue, multi sensorial fusion and
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, multi sensorial fusion and multirobot coordination, including multirobot perception, decentralization and mission execution. The RAI team has a strong European and National participation in multiple R&D&I
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has a strong expertise in field robotics. Specific application areas of focus are robotics for mines, aerial inspection of aging infrastructure, multi-robotic search and rescue, multi sensorial fusion