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research that builds breakthrough new capabilities for AI-enhanced human-robot collaborative execution of tasks that involve sophisticated spatial reasoning over unstructured, physical environments (such as
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—such as airport operations, urban mobility, last-mile logistics, robotic fleet management and other smart city applications—requires making tightly coupled scheduling and resource allocation decisions under
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and journals, focusing on venues associated with the above-mentioned areas. Work closely with and provide technical and intellectual mentorship to PhD students and research engineers within the SMART
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to publications, reports, and technology transition activities. Requirements PhD in Electrical Engineering, Materials Science, Applied Physics, or a related discipline. Prior experience in at least one of the
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kind in Asia and globally. Comprising close to 40 full-time faculty members and around 70 research staff and PhD students, along with a strong network of industry affiliates, the department fosters a
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goals. - Process, analyse and report data effectively in a timely manner. - Publish papers and patents on technologies developed. Requirements - PhD in Chemical/Biomolecular/Biological Engineering or