179 engineering-computation-"https:"-"https:"-"https:"-"https:"-"LGEF" Fellowship positions at Nanyang Technological University
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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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activities. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Applied Mathematics or equivalent. Strong software background in software engineering and cloud computing systems. Strong
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with the University’s policy framework and support coordination of Hyundai‑NTU‑A*STAR Corporate Lab activities. Requirements: Ph.D. in the area of Industrial, Mechanical, and Materials Engineering
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appropriate. Job Requirements: PhD in Artificial Intelligence, Computer Science, Data Science, Psychology, Public Health, Biomedical Engineering, or related discipline. Evidence of productive history working in
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Requirements: A Ph.D. degree in a related discipline (transportation engineering, computer engineering/science, or related disciplines) by December 2025. Expertise in AI, deep learning, and programming (e.g
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with academic and industry partners and contribution to technical reporting, technology translation and implementation-ready design guidelines. Responsibilities: Plan, design and execute experimental
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administrations and liaison Provide regular updates and reports Job Requirements: Possess a recognized PhD degree in Computer Science / Mechanical / Electrical / Aerospace engineering or Physics or related
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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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Engineering, Mechatronics, Computer Science, etc. Strong background in AI, Vision Language Model, end-to-end autonomous driving, deep learning, computer vision, robotics and automation. Candidates having