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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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advance research in computer vision, machine learning, and/or robotics for the digitalization, monitoring, and automation of civil infrastructure. The role will focus on developing innovative methodologies
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: PhD degree in Computer Science, Electrical Engineering, or a closely related field Strong research background in computer vision and deep learning Solid experience with multimodal learning, segmentation
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methodologies to support human and AI coordination in optimal decision makings, while contributing to the broader research vision and long-term objectives of the research team. Key Responsibilities: Develop
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for Research Fellow in the Infectious Diseases Translational Research Program (IDTRP), Yong Loo Lin School of Medicine. The Infectious Diseases Translational Research Program (IDTRP) is dedicated to advancing
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algorithms that significantly reduce computation cost, memory footprint, and power consumption. Design and optimize efficient training and inference pipelines for foundation models (LLM, VLM, VLA) across
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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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computer vision techniques, transformer architectures, and multi-modal learning. Familiarity with reinforcement learning (RL) principles, curriculum learning strategies, and the challenges of real-time
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agencies. Qualifications • PhD in Robotics, Mechanical Engineering, Mechatronics, Computer Vision, or a closely related field. • Strong expertise in robot design and at least one of
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Job Requirement Have relevant competence in the areas of Deep Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related