290 Computer-Science-"https:"-"https:"-"https:" research jobs at Nanyang Technological University
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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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Senior Research Fellow (Human Factors / Human-Computer Interaction / Engineering / Computer Science)
Human Factors, Human-Computer Interaction, Engineering, Computer Science, or a related discipline. Experience in Human-AI Teaming, Human-Automation Interaction, or Human-Centred AI, preferably in safety
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Computer Science, Cyber Security, or a related discipline. Research or applied experience in cybercrime, threat intelligence, or Internet security measurement. Experience in detection or analysis systems
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from the School of Physical and Mathematical Sciences with the School of Chemical and Biomedical Engineering. It is jointly run by the College of Science and the College of Engineering (https
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maintenance of equipment Provide mentorship and academic guidance to students Prepare and compile reports pertaining to the project. Job Requirements: PhD degree in Computer Science, Electrical and Electronic
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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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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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education. Join the research team of Dr. Fuying Dao at the School of Biological Sciences. We are seeking a Research Assistant to support an AI-driven computational biology project focused on developing
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A Research Fellow position (equivalent to Postdoctoral Fellow in many countries/regions) is available in the School of Civil and Environmental Engineering (CEE), Nanyang Technological University
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computational methods for engineering analysis. Proficiency in scientific programming, preferably using Python, MATLAB, C/C++, or comparable programming languages. Experience with advanced sampling methods