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will play a key role in automated wildlife identification and classification from trap camera images using cutting-edge computer vision technology. Working closely with the Principal Investigator, Co-PI
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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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directly with implementing and validating the research using AI, Robotics, 3D Printing and Digital Twins. Artificial Intelligence (AI) related fields, including machine learning, computer vision, adaptive
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vision by designing, developing, and optimizing robust distributed learning frameworks and deep learning models for visual recognition and person re-identification. Key Responsibilities: Design and conduct
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implementation of data-driven computer vision and machine learning models using sensor data, camera feedback, and process parameters for print and tool path planning and process optimisation. Deploy real-time
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Language Models (MLLMs) and their agentic implementations. Develop and benchmark novel adversarial attacks and defense strategies, focusing on the intersection of computer vision, natural language processing
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computer vision and machine learning. To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community. To undertake any other duties
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focus on computer vision, multimodal image analysis and understanding, etc. Key Responsibilities: To independently undertake research in multimodal foundation modeling, document image analysis and
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findings at conferences and journals in computer vision, multimedia, and signal processing. Job Requirements: Preferably Master’s degree in Computer Engineering, Computer Science, Electronics Engineering or