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School of Art, Design and Media - College of Computing and Data Science Nanyang Technological University, Singapore Part-Time Lecturer for AP6412 Foundation for Technology and Coding The School
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research or technical experience Familiarity with required scope (e.g. national codes and standards) Competence in computation and coding Good written and verbal communication skills Ability to work both
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. The ideal candidate will act as a bridge between business needs and technology solutions, leveraging low-code or no-code platforms to develop solutions that enhance operational efficiency and advance SAO’s
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initiatives. Working closely with business stakeholders, their primary responsibility is to understand business needs, document, develop, tests and implement low-code solutions to automate business processes
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Science, Software Engineering, Artificial Intelligence, or a related discipline. Strong research track record in software engineering, AI for code, or software security (e.g., publications in reputable international
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performing laboratory experiments and coding predictive AI models in Python to forecast biomaterial behaviour for use in dentistry. This is not a data-science-only position; prior hands-on experience in
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backend and frontend applications for AI and data-driven platforms Develop and maintain web applications using Python, Flask, React.js, and related frameworks Implement clean, modular, and maintainable code
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Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication skills Strong coding and implementation skills in
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Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication skills Strong coding and implementation skills in
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), vulnerability detection, and LLM-powered code generation. With experience in developing multi-agent repair systems, integrating program analysis with LLMs, and exploring vulnerability detection frameworks