299 computer-engineering-"https:"-"https:"-"https:"-"UCL"-"UCL"-"UCL" Fellowship positions in Singapore
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Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and
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Job Description Job Alerts Link Apply now Research Fellow (Digital Twin - FOWT) University-Level Unit: College of Design and Engineering Faculty/Department-Level Unit: Civil and Environmental
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delegated by the Principal Investigator Job Requirements PhD degree in Electronic Engineering, Computer Science, or related field Knowledge of pinching antennas, wireless communications, and machine learning
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RIE2025. The Laboratory’s objective is to propel Innovation and Technologies commercialisation through NTU’s innovation and NTI’s deep technology. NTI-NTU Corporate Laboratory aligns with Singapore’s
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expertise in optimisation; Computer Science, with expertise in design and analysis of algorithms and high-performance (GPU) computing; Industrial and Systems Engineering, with AI in process mapping and Conops
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School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic
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Sciences, Urban Climate, Architecture Engineering, Building Science, or related fields majoring in Computational Fluids Dynamics (CFD). . Candidate who is in the final stages of PhD studies (i.e. submitted
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PhD and undergraduate student projects as required. Work closely with an interdisciplinary team members from other research clusters at IDMxS. Requirements: PhD in Electrical and Electronic Engineering
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About SCELSE The Singapore Centre for Environmental Life Sciences Engineering (SCELSE) is a leading interdisciplinary research centre jointly hosted by Nanyang Technological University (NTU) and the
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proposal preparation Requirements: PhD degree in chemistry, physics, chemical engineering, computer science, or other related fields Research background in theoretical catalysis/materials science, AI/ML