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We are looking for a Research Fellow to support the Principal Investigator in advancing research on gesture, sign language, and computational linguistics. The role will focus on designing and
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sustainable manner. Key Responsibilities: Responsible for developing explainable machine learning algorithms for Tunnel Boring Machine (TBM) tunnelling and excavation Developing large language model enhanced
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communication technologies is driving the progression of modern AI. However, current efforts are predominantly concentrated on Large Language Models (LLMs) tailored for industrial applications, leaving AI
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, operations research, or a related field from a recognised university Strong expertise in applying large language models (LLMs) and AI techniques to prediction and optimization problems; familiarity with
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, and Large Language Modelling (LLM). Conduct extensive numerical experiments to validate and evaluate the performance of the proposed models. Present research results as academic papers and reports
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relevant language that can facilitate research activities and publications - essential for data analysis and communication with stakeholders Work closely with the PI and his research team on a regularly
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foundation models for general manipulation based on vision-language-action models Develop learning from human demonstration (LfD) framework for vision-language-action models Develop multi-embodiment
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on vision-language-action models Develop learning from human demonstration (LfD) framework for vision-language-action models Develop multi-embodiment retargeting framework with safety constraints Develop a
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. Key Responsibilities: Develop and implement perception and control algorithms for robotic arms and embodied AI systems. Assist in integrating multimodal AI models (vision, language, force sensors) with
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, large language models, AI agents, and 3D reconstruction techniques to generate structured digital representations from multimodal data and support infrastructure monitoring, management, decision-making