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Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research
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systems, MARL, Game Theory. Strong background in Mathematics and modelling. Good English writing and communication skills for research work. Proficiency in Python, experience with PyTorch, NumPy, and
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Electrical and Electronic Engineering, Applied Mathematics, or fields related to Computational Science and Engineering More than 5 years of research experience in the related area Experience in code
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for measuring patient reported outcome measures in the population of Singapore based on the efficient application of Natural Language Processing and Item Response Theory to existing measurement systems working
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Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research
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. Proven expertise in AI/ML for systems or hardware co-design, including use of reinforcement learning, LLMs, graph-based optimization, or agentic AI. Familiarity with security concepts and cryptographic
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at the NUS Business School, Department of Analytics and Operations. The research fellow’s primary duty involves conducting research, including model development, theory building, data analysis, and possibly
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Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research
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National Integrated Centre for Evaluation (NiCE) @ NTU is a collaboration between Cyber Security Agency of Singapore (CSA) and NTU. Strategically located in NTU to leverage on their knowledge, expertise and experience in software and hardware assurance, NiCE will be a one-stop facility for...
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Responsibilities: Conduct programming and software development for big data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations