92 image-processing-postdoc Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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with direct industrial impact. Responsibilities The successful candidate will: Conduct cutting-edge research in Computer Vision, Video Understanding, and Multimodal AI. Design AI models for concept
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, hospitals, home-based care and palliative care settings. Develop medtech / healthtech solution concepts, technical specifications and prototype roadmaps for organisational transition, focusing on but not
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to community and aged care settings, nursing homes, hospitals, home-based care and palliative care settings. Develop medtech / healthtech solution concepts, technical specifications and prototype roadmaps
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processes. The role involves aptamer discovery, nanomaterial-based SERS sensor development, and integration with microfluidic systems for real-time monitoring of cleaning validation washout fluids
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Vision, Video Understanding, and Multimodal AI. Design AI models for concept-driven video understanding of consumer facial care behaviours. Work with PI and company to develop the AI solution Develop novel
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functional brain imaging and 3D human kinematics. This funded research brings together multidisciplinary expertise from Singapore Institute of Technology (SIT), National University of Singapore (NUS), National
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Commitment One year for every year of sponsorship. Application Process Applications are open throughout the year via the various links below. Applications received before 15 January 2026 will be considered
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degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge of image processing is required. Ability to effectively and efficiently utilise industry
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implementation methodologies suitable for industry adoption. Lead the scale-up of laboratory processes (e.g. aqueous carbonation) to prototype and pilot systems, including system design, optimisation, and
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performing data analysis to create a robust and reliable testing protocol. Key Responsbilities: Conduct a comprehensive literature review on food rheology, texture analysis, particle analysis, image analysis