241 parallel-computing-numerical-methods Fellowship positions at Nanyang Technological University
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development skills; distributed or parallel computing is a plus. Experience designing and executing field experiments in urban or environmental settings, with willingness to engage in fieldwork in dense urban
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mobile bimanual manipulation system to complete diverse tasks in household environment and in manufacturing deployment scenarios Job Requirement PhD in Electronic Engineering, Computer Science, Mechanical
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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AI methods and systems, and support the University’s mission in advancing high-impact research, innovation, and global research excellence in AI and computing. Job Responsibilities: Expected to work
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for partial differential equations, and multiscale partial differential equations. The candidate will develop efficient numerical methods for solving the problems, and implement the numerical algorithms
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highly skilled in and deeply passionate about computational electromagnetism and mathematical physics/engineering. The SRF should have strong background in computational methods for solving Maxwell’s
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society. For more details, please view https://www.ntu.edu.sg/ase . We are seeking a Research Fellow to join the research team led by Nanyang Assistant Professor Feng Tao in computational ecology. The role
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to collaborative research activities that advance the group's infrastructure monitoring agenda. Job Requirements: PhD in Civil/Structural Engineering, Engineering Mechanics, Electrical/Computer Engineering, Applied
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for research and data analysis purposes (e.g. Python or similar languages), experience with eye-tracking or physiological sensing methods, as well as strong numerical and analytical skills. Competent in general
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infrastructure systems under uncertainty. We are seeking a Research Fellow to develop advanced computational methods for the reliability and robustness assessment of structural and infrastructure systems. The role