36 computational-physics "https:" "https:" "https:" "https:" "Caltech" positions at Singapore University of Technology & Design
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to attract PhD qualified Singaporeans with a demonstrated interest in research, technology and design, to join SUTD as a SUTD Faculty Fellow. The awardee will undergo a 3-year programme to develop them
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psychology, cognitive science, human-computer interaction, communication science, or a related field. Strong background in psychological research methods (e.g., behavioral, experimental, interviews, mixed
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Computer Science and Design (CSD) pillar courses. Opportunities to teach at the Master's level or continuing education and training programmes may also be available. Further details on the CSD core curriculum can be
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human behavior in cities. Successful applicants will contribute to a research program that explores the intersection of human behavior, urban design, technology, and livability. The program tackles
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Lab and the Urban Environmental Sustainability Programme, with a focus on developing analytical methods and practical tools for understanding how people interact with urban environments. Current and
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to understanding human behavior in cities. Successful applicants will contribute to a research program that explores the intersection of human behavior, urban design, technology, and livability. The program tackles
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on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in graph-based prediction. What we’re looking for: A PhD in Electrical and Computer Engineering or a
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overseas University or Research Institution Application Process You may click on “APPLY NOW” to submit your online application to SUTD. The application process will take approximately 15-20 minutes
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Computer Engineering or a related field. A strong track record of publications in energy-efficient digital circuit design Hands-on chip tape-out experience is a strong plus Experience in compute-in-memory
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– shape the learning of environmental representations (cognitive maps and world models) across age groups. This project is a close collaboration with the School of Computing and Information Systems