192 systems-science "https:" "https:" "https:" "https:" "I.E" "UCL" positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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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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Responsibilities Applied Research and Innovation Lead and manage projects focused on product innovation, including, Artificial Intelligence, renewable energy, circular economy, sustainable materials, and carbon
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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Engineering, Computer Science, Data Science, Statistics, or equivalent. Strong theoretical background in statistics and machine learning. Knowledge of the basics of federated learning and causal inference is
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projects. Requirements: Minimum Polytechnic Diploma, or an equivalent qualification. Possession of a Class II boiler license is an advantage. At least 3-5 years of experience in a research or production
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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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Role Overview As a University of Applied Learning, Singapore Institute of Technology (SIT) works closely with industry partners to develop applied research capabilities that translate directly into
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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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related to the programme. Provide secretariat support for programme governance meetings and committees. Requirements Bachelor’s degree in business administration, engineering, or related disciplines. 3–5
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Bachelor’s degree or above in Electrical Engineering, Power Engineering, or a related field from a recognised university. Knowledge and experience in modelling and simulation of microgrids or power systems