691 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" research jobs in Singapore
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3 Mar 2026 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Agricultural sciences Researcher Profile First Stage Researcher (R1) Application Deadline 1 Apr
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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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, and security teams. Job Requirements: Master’s or PhD degree in Computer Science, Electrical Engineering, or related fields. Strong experience with Hyperledger Fabric, Avalon, or comparable enterprise
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for Quantum Technologies (CQT) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Fellow. The role will focus on helping to build thermal-flow engineering and
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in Materials Science, Chemistry, Physics, Computer Science, or a related field. Strong experience with DFT codes (e.g., VASP/Quantum ESPRESSO). Hands-on experience with mainstream implementations
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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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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research. We are looking for a Research Fellow to assist the PI in conducting research specified in a sponsored project. The
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research. We are looking for a Research Fellow to assist the PI in conducting research specified in a sponsored project. The
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superlattices (twistronics). The role will focus on developing and applying theoretical models and computational quantum chemistry and machine learning methods to uncover novel properties and phenomena in low