17 processor-"https:"-"https:"-"https:"-"https:" Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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for: Conducting research and development on AI-based solutions for automated defect inspection and condition assessment of train components by designing and developing deep learning, computer vision, and machine
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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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/PhD degree in Computer Engineering, Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, or related disciplines. Experience in project management, research administration
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Engineering, Communications Engineering, Computer Science, or a highly related discipline. A strong theoretical foundation and research background in wireless communications and edge computing. Strong
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coding . Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge
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(Kubernetes), serverless computing, and REST API development. Proficient in Python, with basic experience in machine learning or computer vision libraries; familiarity with Vision-Language Models (e.g., CLIP
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, or similar. Solid expertise in computer vision techniques, transformer architectures, and multi-modal learning. Familiarity with reinforcement learning (RL) principles, curriculum learning strategies, and the
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the knowledge within a short time (e.g., 1 month). Have a degree in computer science, computer engineering, electrical engineering or equivalent. Possessing a Master’s or PhD degree will be advantageous
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seeking a Research Fellow or Research Engineer with strong expertise in Human-Computer Interaction (HCI) and social science methodologies to lead the user research and policy development, as part of