646 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Nanyang Technological University in Singapore
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initiatives across the College of Science (CoS). The role ensures smooth implementation of undergraduate programs, strengthens student learning experiences, promotes NTU Science to top local and international
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various research activities. Equipped with effective organizational and interpersonal communications with excellent written, oral communication and computer skills. A team player who is able to prioritize
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, such as, geometric/topological/algebraic data analysis, geometric/topological deep learning, Math for AI, categorical deep learning, sheaf neural networks, PINN/KAN models, neural operators, etc, and
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mission is to shape future leaders and contribute to society's advancement through cutting-edge research and transformative learning experiences. Why Join NTU: As a member of the NTU family, you will have
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, optimization, and delivery of digital learning solutions to enhance teaching, learning, and learner experience across the University. Key Responsibilities Support Edtech impact analysis and reporting, including
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engagement with CRCD research. Plan and coordinate research dissemination events (e.g., pre-conference sessions, symposia, and learning exchanges), including preparation of presentation materials, to share
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Residents) Applications should include the following: Cover letter (identifying courses from the Philosophy modules at NTU course catalogue that the applicant is willing to teach) CV Evidence of teaching
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of being An Institute of Distinction: Leading the Future of Education and our mission to Inspire Learning, Transform Teaching and Advance Research. Read more about NIE here . The NIE Library and Information
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innovation while fostering an inclusive and collaborative learning environment at NTU. The successful candidate will be expected to: Research: Lead a dynamic research team and succeeding in applications
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The project is to be carried out in collaboration with Schaeffler to study “collision monitoring and control system of cobot based on fiber optic sensing and deep learning”. Research Assistant