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description You educate and inspire the next generation of managers as they investigate the opportunities presented by data analytics (machine learning, deep learning, data mining) and new information
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As Assistant Professor in Air Traffic Management, your research advances intelligent and sustainable ways to manage global airspace. By applying artificial intelligence and machine learning, you
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. The work spans the full pipeline: establishing a rotating-bearing test bench; instrumenting it with different sensing modalities such as vibration, acoustic, and thermal sensing; and developing machine
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the Netherlands with both scholars focusing on developing and applying state-of-the-art methodologies from the fields of statistics, economics, and machine learning, as well as scholars focusing on consumer
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on the monitoring and response parts, building on many earlier projects revolving around the use of UAV/drones, computer vision and machine learning, change and damage detection, and multi-data integration, such as
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boundaries of system-level modelling, analysis, design, exploration and synthesis beyond the current state-of-the-art? Or are you curious to learn more about the application of AI for system diagnostics and
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eager to apply and valorize scientific results in this field in high-tech domains such as semiconductor machines and robots, together with highly innovative companies? Would you like to work in a team of
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pedestrian-micromobility mode interaction. Identify key indicators of stress and discomfort for different types of vulnerable road users. Collaborate closely with other project partners across different work
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each other. This necessitates a multidisciplinary approach bringing together optimization, machine learning and behavioral modeling methodologies. In FlexMobility we propose a holistic approach to design
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Would you like to work at the intersection of transportation, robotics and machine learning