95 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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FACULTY OPENINGS AT THE SINGAPORE INSTITUTE OF TECHNOLOGY The University: The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant
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internal and external stakeholders to ensure project deliverables are met. Any other ad-hoc duties assigned by supervisor. Requirements Bachelor’s degree or higher in Robotics, Computer Science, Mechanical
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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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Centre (EETC) at Singapore Institute of Technology (SIT) aims to be the leading technology innovation centre to support local industries on energy efficiency initiatives. EETC aspires to promote and
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of the partnership lifecycle. Job Requirement Bachelor's degree in Business, Computer Science, Engineering, Data/AI, or a related field. 2–5 years of experience in business development, partnerships, innovation
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degree or higher in Robotics, Computer Science, Mechanical Engineering, Control Engineering, or a related field. Hands-on experience with deep learning frameworks such as PyTorch or TensorFlow. Working
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the Integrated Work Study Programme (IWSP). Professional Officers could also lead or work with faculty on industry innovation projects to provide solutions to the industry. In addition to their role in
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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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assigned by supervisor. Requirements Bachelor’s degree or higher in Robotics, Computer Science, Mechanical Engineering, Control Engineering, or a related discipline. Hands-on experience with at least two
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supervisor. Job Requirements： Bachelor’s degree or above in Robotics, Computer Science, Mechanical Engineering, Control Engineering, or related fields. Hands-on experience with deep learning frameworks such as