73 phd-position-data-mining Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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AI applications as well as Python-based coding . Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine
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21 Mar 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Engineering Engineering Researcher Profile First Stage Researcher (R1) Application Deadline 19
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28 Feb 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Researcher Profile First Stage Researcher (R1) Application Deadline 29 Mar
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Climate and Biodiversity in Singapore towards 2030 and Beyond.” This position requires experience in Geographic Information Systems (GIS) and related fields, with added expertise in ecosystem services
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3 Mar 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Agricultural sciences Researcher Profile First Stage Researcher (R1) Application Deadline 1 Apr
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21 Feb 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Researcher Profile First Stage Researcher (R1) Application Deadline 22 Mar
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3 Mar 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Engineering Engineering Engineering Researcher Profile Recognised Researcher (R2) First Stage
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, microbial cultures, and cleaning validation samples. Develop data analysis pipelines for Raman spectral classification, potentially integrating machine learning methods. Research & Project Responsibilities
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to the UrEco 2030+ project: “Optimizing Urban Ecosystem Services Model for Urban Climate and Biodiversity in Singapore towards 2030 and Beyond.” This position requires experience in Geographic Information
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libraries, including nucleic acid extraction, amplification, and library preparation. Conduct basic bioinformatics processing of sequencing data, including sequence quality control and taxonomic profiling