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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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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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multiple LLM-powered agents operate concurrently to explore user-generated worlds and trigger diverse contextual scenarios. Develop a unified multimodal detection pipeline that integrates video, audio, and
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into clear, human-centred narratives that spark curiosity, accelerate understanding, and inspire action. Key Responsibilities Lead end-to-end design processes, from user research and ideation to wireframing
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with the Principal Investigator (PI) and industry partner to ensure all project deliverables are met Design and implement evaluation frameworks and metrics for vision-language models Develop annotated video datasets
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contextual scenarios. Develop a unified multimodal detection pipeline that integrates video, audio, and text leveraging fine-tuned Vision-Language Models (VLMs) from WP3, supporting zero-shot reasoning and
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-end design processes, from user research and ideation to wireframing, prototyping, and high-fidelity UI design Conduct user research, usability testing, and interviews to uncover insights that inform
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deliverables are met Design and implement evaluation frameworks and metrics for vision-language models Develop annotated video datasets and capability-tagged evaluation tasks Build end-to-end evaluation
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experience will suffice for research engineers. Applicants with skills in Video Analytics, NLP (Natural Language Processing) or any of the following would be preferred: Caffe, Spark ML, Keras, PyTorch
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. Applicants with skills in Video Analytics, NLP (Natural Language Processing) or any of the following would be preferred: Caffe, Spark ML, Keras, PyTorch, TensorFlow, Scikit- Learn, CNTK. Also Big data