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• Familiar with economics, logistics, management, and/or modelling of complex systems • Experienced in coding and data visualization • Familiar with AI, machine learning
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. Proven skills in experiment design, data acquisition, and data analysis required. Numerical Research: Strong expertise in Combustion Computational Fluid Dynamics (CFD) and extensive experience in code
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research initiatives. Key Responsibilities: Support CoHASS researchers in exploring and applying digital methods and tools, including coding, empowering principal investigators to integrate digital tools
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strategic adjustments to the manner of the scholarship calls. Troubleshoot, debug, and upgrade supporting code bases for the suite of web applications. Define and maintain adequate security and data
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that approved research projects conform to Singapore’s laws and regulations (e.g., Human Biomedical Research Act, Medicines Act, Personal Data Protection Act, Penal Code, Health Products Act, etc, and their
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of advancing trustworthy AI and cyber security research, with a particular focus on the runtime safety of autonomous coding agents. The Research Assistant will support ongoing research on safe reinforcement
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databases. Write clean, well-documented, testable, and maintainable code that promotes reusability and future development. Oversee website maintenance, expansion, and content management. Deliver secure
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-house applications to ensure optimal performance and user experience. Collaborate with cross-functional IT teams for system deployment and integration. Ensure high standards of code quality, test coverage
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is preferred. • Extensive experience in developing complex computer codes, e.g. in Python, R, or Shell. • Ability to construct and write papers for leading research journals and conferences
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knowledge of applied statistics, empirical research methods and quantitative analysis. Experience handling, cleaning, validating and analysing complex datasets. Good coding skills; familiarity with Python and