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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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The National Institute of Education invites suitable applications for the position of Research Fellow on a 12-month contract at the Mathematics and Mathematics Education Department. Project Title
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industry partners. Job Requirements: PhD degree in Computer Science/Engineering, Electrical/Electronic Engineering, Mathematics or other related disciplines from a reputable university. Good publication
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advances the mathematical foundations, algorithms, and real-world applications of epistemic uncertainty in machine learning, with a strong focus on imprecise probabilities, uncertainty representation and
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evaporation process Job Requirements: Bachelor in Materials Science and Engineering, Energy system, Applied Mathematics, or related field. Experience in Perovskite materials and solar cells Expert in Perovskite
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journals such as S&P, USENIX, SIGMOD, VLDB, TODS, NeurIPS, ICML, AAAI, or ICLR. Job Requirements: Preferably bachelor’s degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a related
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: A PhD in Physics, Computer Science, Mathematics, Machine Learning or relevant fields. Strong publication record in top conferences/journals, such as Nature Physics, Nature Communications, PRL, T-PAMI
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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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. The role will focus on developing machine learning and mathematical optimization solutions for electric vehicle fleet charging optimization under different constraints. Key Responsibilities: Formulate
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Engineering, Computer Science, Applied Mathematics or equivalent. Strong background in machine learning, convex optimization, or distributed systems. Prior experience in federated learning, edge computing