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significant gains in computational efficiency without sacrificing performance. Key Responsibilities Contribute to the development of resource-efficient machine learning methods that improve computational
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program at SMART. The SMART team seeks to advance the frontier of AI research, apply it to society and cities, and demonstrate the concrete social impacts of the AI algorithms with broad public acceptance
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Computer Science, Artificial Intelligence, Data Science, Automation, Electronic Engineering, Economics, Human Resources Management, or a related field. Experience with general methods in machine learning, such as
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. Integrate effective wave-based computational techniques to inverse design next generation of acoustic metamaterial for ultrasound imaging system. 3. Develop experimental methods to validate the responses
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models (e.g., LLMs, multimodal systems) that support learning, assessment, and teaching practice. Empirical Education Research – Conduct controlled experimental studies (e.g. mixed-methods), including
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Project Overview The Antimicrobial Resistance Interdisciplinary Research Group (AMR IRG) is a unique translational research and entrepreneurship program aimed at solving the growing threat
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requirements include: Candidate should minimally hold a master’s degree in maritime transport, marine technology, computer science, or a related field. Excellent programming skills, such as Python, Matlab, C
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Project Overview The DiSTAP programme addresses deep problems in food production in Singapore and the world by developing a suite of impactful and novel analytical, genetic and biosynthetic
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Project Overview Wafer-Scale Integrated Sensing Devices based on Optoelectronic Metasurfaces (WISDOM) focuses on semiconductor wafer growth and processing for photonic applications. This program
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vibrant community of faculty, researchers, and students working across multidisciplinary areas such as geotechnical engineering, water and environmental systems, materials science, and computational