30 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" positions at Singapore University of Technology & Design in Singapore
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Job Description The Information Systems Technology and Design (ISTD) pillar seeks applications to fill several teaching track faculty positions in the following area: Successful candidate(s) will be
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including but not restricted to statistical and machine learning (ML), artificial intelligence (AI), operations research, data science, and industrial and systems engineering, with applications to healthcare
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to apply Applications are being accepted online and the review of applications is ongoing. Additional information about the university and the Engineering Systems and Design pillar can be found at https
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. Additional information about the university and the SMT cluster and SUTD can be found at www.sutd.edu.sg and https://smt.sutd.edu.sg/ . Application Requirements Applications will be accepted online at https
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well as to interdisciplinary projects with other departments at SUTD. For more information, please visit the following websites: https://www.sutd.edu.sg/ and https://hass.sutd.edu.sg/ Application Details Candidates should
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research and teaching that contribute significantly to HASS fields as well as to interdisciplinary projects with other departments at SUTD. For more information, please visit the following websites: https
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departments at SUTD. For more information, please visit the following websites: https://www.sutd.edu.sg/ and https://hass.sutd.edu.sg/ Application Details Candidates should submit the following materials
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. The position is suited for candidates who enjoy working with real-world data and translating quantitative insights into planning, design, and policy applications. The successful applicant will join a growing
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and data pipelines to enable real-time data acquisition and closed-loop control. Collaborate with AI researchers to implement machine learning models for adaptive experimental design and autonomous
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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