37 data-science positions at Singapore University of Technology & Design in Singapore
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Job Requirements A PhD degree in computer science or relevant disciplines from a good university. Strong network in industries related to computer science. Ability to develop and teach undergraduate
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Job Description The Information Systems Technology and Design (ISTD) Pillar invites applications to fill several Tenure Track faculty positions. Appointments will be at the Assistant or Associate
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Job Description The Information Systems Technology and Design (ISTD) pillar seeks applications to fill several teaching track faculty positions. Depending on teaching experience, an appointment
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/social science/data science. Trans-disciplinary candidates are preferred. Job scopes include combination of the followings: Design ethnographic research, including planning, coordinating and facilitating
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travel related matters (e.g. ISOS) Provide assistance in exam results checking for undergraduate subjects Assist in updating student MyPortal with announcements and information Manage students
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friendly and intellectually stimulating. Qualifications & Experience: Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or a related technical field. The development
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from reputable university. Qualifications or work experience in psychology, cognitive science, or healthcare in elderly population is preferred. Equipment with research skills, such as literature review
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are collaborating faculty. A background in electrical engineering, engineering product design is required. About us NZFL is an interdisciplinary research group working on disruptive innovations for a Net Zero built
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The Singapore University of Technology and Design (SUTD) is starting a project on designing mobile-friendly cartograms, a project to improve existing information visualization on mobile devices like
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, gather, and analyse requirements, and deliver ML-driven solutions. Conduct data collection, preprocessing, and augmentation to create training datasets. Implement and optimize image recognition models