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Field
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research in various areas of mobile network systems, multimedia and AR/VR/XR systems, robotics and machine learning, focusing on fundamental aspects as well as on applications in multidisciplinary contexts
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effectively exploited, possibly using some kind of machine learning algorithm, provides more accurate data than traditional data collection methods, e.g. paper-based surveys. This data is valuable to several
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or game theoretic analysis. Experience with large language models, machine learning, and/or programming in R or equivalent programs is an advantage but not a requirement. The evaluation of applicants
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or computer games requiring hand-eye-coordination It is an advantage to have experience in AI-based time-series analysis, spatio-temporal prediction or situational awareness It is an advantage to have
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As a University of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry in its research pursuits. This position is situated within the Centre for Immersification
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to participate in a weekly Fellows Seminar workshopping each other’s projects and discussing readings based on the yearly theme. The nature of this fellowship year is social and communal—fellows forge connections
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, robotics and machine learning, focusing on fundamental aspects as well as on applications in multidisciplinary contexts. This position is part of the DRIVE project, funded by the Research Council of Norway
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activities for pilot studies and emerging projects supported by internal and foundation funding that advance trauma-informed and workforce-focused innovations in early childhood settings (e.g., game-based
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fellowship, and are required to participate in a weekly Fellows Seminar workshopping each other’s projects and discussing readings based on the yearly theme. The nature of this fellowship year is social and
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and Distributed Systems Research Group (ND) with co-supervision from IFI’s Machine Learning section and the University of Inland Norway’s research group for User Perception and Engagement in XR