445 computer-science-quantum "https:" "https:" "https:" "https:" "https:" "U.S" "U.S" Fellowship positions in Singapore
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Job Description Job Alerts Link Apply now Job Title: Research Fellow, School of Computing Posting Start Date: 05/01/2026 Job Description We are the NUS Avant Lab, led by Prof. Jingxian Wang (https
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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photonics, quantum optics, or quantum information science. At least 2 years of relevant research experience with hands-on experimental work in integrated photonics, optical or quantum photonic systems
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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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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Job Description Job Alerts Link Apply now Job Title: Principal Research Fellow and Head of Programme (International Energy Law and Policy) Posting Start Date: 11/03/2026 Job Description The Centre
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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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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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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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