94 evolution "https:" "https:" "https:" "https:" "https:" "https:" "Computer Vision Center" positions at Singapore Institute of Technology
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Job Description Apply Now Research Engineer/ Fellow (Applied AI research in computer vision, vision-language models) (XBJ) Posting Start Date: 27/02/2026 Schemes of Service: Research Division
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Job Description Apply Now Research Engineer/Fellow (Deep Learning Computer Vision - SHNeo) Posting Start Date: 25/06/2026 Schemes of Service: Research Division: Professional Officers Employment
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to ensure project deliverables are met. Any other ad-hoc duties as assigned by Supervisor. Requirements PhD in Computer Science or related field Expertise in computer vision and vision-language
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, performance optimisation, databases, computer graphics, distributed systems, computer vision, and multimedia analytics. AI and Emerging Fields: Industrial IoT, computational fintech, robot-human
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sets that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the MCCS NATURE Project ( https://www.nparks.gov.sg/Cuge/Programmes
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will: Conduct cutting-edge research in Computer Vision, Video Understanding, and Multimodal AI. Design AI models for concept-driven video understanding of consumer facial care behaviours. Work with
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data under varying environmental conditions. Design computer vision and human-behavior analysis models for detecting personnel, posture, casualties, and hazardous situations, including operation in
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solutions for automated defect inspection and condition assessment of train components by designing and developing deep learning, computer vision, and machine learning algorithms. Collaborating with
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, simulation, database, computer graphics, distributed systems, computer vision, video analytics Emerging Fields : IIoT, computational fintech, robot-human interaction, Trustworthy AI, Explainable AI
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geometries, reusing relevant assets from other work packages where appropriate. Design, train and evaluate computer-vision and multimodal perception models for ULD alignment verification, CLS lock-state