240 post-doc-image-engineering-computer-vision Fellowship research jobs at Nanyang Technological University
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advanced manufacturing, mechatronics, innovative design, nanotechnology, and biomedical and computational applications. The School of Mechanical and Aerospace Engineering (MAE) invites applications
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models using frameworks such as PyTorch and TensorFlow. Research experience in medical image analysis using deep learning algorithms. Strong track record in machine learning, computer vision, and medical
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The Singapore Centre for 3D Printing (SC3DP) serves to drive research development and industry adoption of additive manufacturing technology through collaborative projects with leading industry
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, invited talks, and outreach activities, strengthening NTU’s leadership in infrastructure security R&D. Job Requirements: PhD in Computer Science, Software Engineering, or related field. Strong publication
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Computer Science, Software Engineering, or related field. Strong publication record in top-tier venues. Experience with LLM-based program analysis and infrastructure security. Proven ability to work collaboratively
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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Nanyang Technological University’s National Centre for Research in Digital Trust (DTC) is a Trust Technology Research Centre to execute a national program to help put Singapore into a strong trust
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. Contribute to technology transfer activities and engagement with industry or governmental stakeholders. Requirements: PhD in Physics, Engineering, or related field. Extensive experience in Rydberg atom
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to the programme of research. Job Requirements: PhD’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent
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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