103 engineering-computation-"https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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31 Jan 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Engineering Researcher Profile Recognised Researcher (R2) First Stage
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Job Purpose: The Research Engineer will support applied research and innovation in environmental sustainability, working with internal teams and industry partners to develop practical solutions
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Job Purpose: The Research Engineer will support applied research and innovation in sustainability focusing on, but not limited to, the Built Environment sector, working with internal teams and
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programme expansion initiatives and new funding opportunities. Requirements Minimum Bachelor’s degree in engineering, robotics, computer science, AI, cybersecurity, or a related field. Ideally 10+ years
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Applied Statistics, Applied Mathematics, Data Science, Computer Science or a related field or related disciplines with relevant experience in research, engineering, product development or sustainability
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industry needs while working on projects at SIT. The main responsibility of this position is to deliver on an industry innovation research project. The Research Fellow/Engineer will be a key member of the
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skills Show strong initiative and take ownership of work Where to apply Website https://www.timeshighereducation.com/unijobs/listing/406275/research-engineer-o… Requirements Additional Information STATUS
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description FACULTY OPENINGS AT THE SINGAPORE INSTITUTE OF TECHNOLOGY The Singapore Institute of Technology (SIT) is
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27 Jan 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Engineering Computer science Researcher Profile Recognised Researcher (R2) First Stage
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cutting-edge computer vision technology. Working closely with the Principal Investigator, Co-PI, and interdisciplinary research team, RE will develop and implement deep learning algorithms to analyze trap