139 systems-science-"https:"-"https:"-"https:"-"https:"-"IFM" positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of speech, audio, time-series or signal processing is required. Ability
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Research Assistant Health and Social Sciences Cluster Singapore Institute of Technology We are seeking a motivated and capable Research Assistant to join an exciting translational research project
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. Key Responsibilities Industry engagement and partnership development Identify and engage robotics companies, technology providers, startups, and research partners to participate in the SmartPrecinct@PDD
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, experimental prototyping and testing. Have a degree in engineering / applied physics, electrical, mechanical, marine, computer engineering or equivalent. Key Competencies Good knowledge in system modeling
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degree or Master’s degree in Computer Science, Information Systems, Data Science, Artificial Intelligence, or a closely related field. Strong programming skills in Python, with experience in relevant
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Principal Investigator (PI) to ensure all project deliverables are met. Job Requirements A Ph.D./Master’s degree in Computer Engineering, Communications Engineering, Computer Science, or a highly related
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tunnelling. Prior experience in basic soil characterization and knowledge in basic soil mechanics is required. Have a degree in civil engineering. Possessing a Master’s or PhD degree will be advantageous
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Cluster: Engineering Job Purpose We are seeking a Research Fellow at the Singapore Institute of Technology (SIT) to undertake high-quality applied research for a funded project at the Singapore
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Introduction As a University of Applied Learning, the Singapore Institute of Technology (SIT) collaborates actively with industry in our research work. We seek a motivated candidate who is keen on
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Food Science, Food Engineering, Materials Science, or a related field. A Master's or Ph.D. in a related research field is advantageous. Experience with instrumental texture, image analysis and particle