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-world applications and business implications in the captivating aviation sector. You'll unravel the complexities of conflicts of interest within aviation, working to find innovative solutions. Your role
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Design human-centred AI for effective information sharing in crisis management A major challenge in crises is the combination of complexity, time pressure and moral decisions. AI has the potential
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circumstances. The position is a part of the AI-COMPASS team of three PhD researchers that will collectively research crowd crisis management at the TU Delft. This position is embedded at the Faculty
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electric aircrafts. Reliability of onboard electrical system is of extreme concern. A wide range of operating conditions is applicable, inclduing temperature ranges from -85 °C to 200 °C, pressure ranges
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specifically, you will study and develop algorithms for managing the robot's information based on these observations and based on a predefined, or learned, knowledge structure. Since our robots will operate in
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individuals to get by in life, but they also affect life expectancy, social justice and cohesion for everyone. One way to understand and address urban economic segregation is to model its dynamics, and to run
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. In JCAS, communication and sensing services share a common network infrastructure and radio resources, with the technology and associated management solutions designed to flexibly achieve tailored
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. Knowledge or at least some interest in machine learning, preferably techniques for management/adaptation of systems. Programming experience in MATLAB/Python or C/C++, preferably in relation to radar signal
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. Nowadays AI and Machine Learning techniques achieve impressive detection performance for these sensors, however they are most useful in unobstructed areas (e.g. highway) within direct line-of-sight, and
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windows, and adhere to priority rules to achieve a desired service level. The scope of your PhD extends to critical areas such as asset management, infrastructure monitoring, predictive maintenance