214 computer-programmer-"https:"-"https:"-"UNIS"-"https:"-"https:"-"https:" positions 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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Science, Information Technology, Engineering, or a related discipline. Experience: Minimum of 3 years in software development and IT project management. Domain Knowledge: Strong understanding of university-level programme
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research papers in top-tier journals and conferences Job Requirements: Bachelor’s degree in Electrical and Computer Engineering or Computer Science Strong publication record with papers accepted/published in
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are seeking a Research Associate to develop a high-fidelity Artificial Intelligence (AI) framework for modeling
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conferences and journals. To offer assistance to any students involved in the project. To collaborate with industrial and academic partners. To perform any other duties related to the research program. Job
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, such as neurodegenerative diseases and diabetic neuropathy, supporting non-invasive and efficient healthcare applications across diverse scenarios. Job Requirements: Ph.D. degree in Computer
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related research topics. Participate in the whole-process management of scientific research projects, reasonably plan the research progress, coordinate resources, etc., to ensure the efficient advancement
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, ANGEL creates and deploys impactful green digital technologies for global sustainability. ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and
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concepts into impactful solutions and guide their implementation. Requirements: PhD in Computer Science, Computer Engineering, Electrical & Electronic Engineering, or related disciplines; A strong research
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, Computer Science, FinTech, or related fields; strong statistical background. Experience with BERT, LSTM, GRU architectures, and financial risk modeling. Proficient in Python, Linux, and open-source LLM platforms