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infrastructure monitoring, as well as connected autonomous vehicles Integrating multi-modal sensor data with physics-based models Developing robust and adaptive methods for real-time parameter and state estimation
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will support cutting-edge projects in urban science, computational social science, and usability research. You’ll work closely with our team of Principal Investigators (PIs) to design and implement data
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the Academic Year 2025-2026. The successful candidate will contribute to the ongoing development of a Public History curriculum within the History Program and the Arts and Humanities Division and collaborate
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, including behavioral and neuroimaging (EEG/MEG and/or MRI) data. These studies will be informed by computational modeling and will use cutting-edge data analysis methods. The project will build on recent work
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), and cyclic voltammetry to assess membrane properties. Contribute to the development of scalable fabrication methods and explore potential industrial applications. Present findings in lab meetings
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sustainable revenue plans for executive education programs. Deep knowledge of executive and professional education, adult learning principles, online learning platforms, and innovative program delivery methods
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. Successful applicants must have a PhD in a field related to survey methods techniques and transport demand modelling and demonstrated experience with state choice experiments, discrete choice models, virtual
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osteointegration. This will involve surface modification of implants through methods such as plasma treatment, silanization, and the application of specialty coatings to impart corrosion resistance. Additionally
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robust brain-inspired, autonomous, and cognitive systems through cross-layer analysis and design methods, engaging hardware, software, and system level techniques synergistically. Prof. Shafique’s lab has
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will support cutting-edge projects in urban science, computational social science, and usability research. You’ll work closely with our team of Principal Investigators (PIs) to design and implement data