46 computer-science-intern-"https:"-"https:"-"https:"-"https:" positions at Singapore University of Technology & Design
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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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research in technology & design, to embark on an academic career with SUTD by pursuing doctoral studies at top overseas Universities. The scholarship will provide monthly stipend and allowances during
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programme at the intersection of optics, electrical engineering, artificial intelligence, and experimental biology, with the aim of building closed-loop, autonomous experimental platforms that accelerate
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, logistics etc.; Manage good rapport with internal stakeholders and attend to their maintenance feedback and requests for improvement works; Carry out procurement of goods and services for maintenance and
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timely completion of projects and complies to the University's house rules, requirement specifications and quality standards. Manage good rapport with internal and external stakeholders and attend to any
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deliver undergraduate and graduate courses in computer science, human-centred design, and AI. Contribute to the strategic direction and administration of the DAI Programme and the university. Lead and
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conferences (International Conference on Engineering Design, International Design Engineering Technical Conference, International DESIGN Conference, and similar)
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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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Master’s degree in psychology, cognitive science, human-computer interaction, communication science, or a related field. Background in some empirical research methods (quantitative, qualitative, or mixed
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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