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on integrating multimodal large language models (LLMs) with embodied AI. This position will involve the development and deployment of Vision-Language-Action models for real-world robotic applications, such as
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School graduates over a thousand students who are ready to take on great ambitions and challenges. For more details, please view: https://www.ntu.edu.sg/eee We are looking for a Research Fellow to support
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . Our team is seeking a highly motivated Research Fellow to contribute to cutting-edge research in embodied AI and
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using NVIDIA Isaac Sim, and learning-based policy development for manipulation and locomotion tasks. The role will involve both experimental robotics work and AI model development for sim-to-real humanoid
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research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in
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, physical AI, and spatial AI. The RF will contribute to the development of innovative algorithms, data preparation pipelines, and experimental evaluations that are central to the Physical Vision Group’s long
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the course of their fellowship period within the duty component of 25 %. Project description This position is part of The Norwegian Centre for Embodied AI (NCEI, https://www.ntnu.edu/web/ncei ), one
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deployed inside an XR space. This agent will serve a dual development goal: functioning as an interactive, simulated guide that outlines the features of the UTOPIA Lab and acting as a spatial manipulation
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Multimodal Models Generative AI, Agentic AI, Physical AI, and Embodied AI Trustworthy AI, including explainability, auditability, and privacy Edge AI and model optimisation Physics-informed neural networks
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. The overarching goal is to guarantee perceptual latency budgets and to devise embodiment recovery strategies when these budgets are exceeded, enabling consistent, realistic and cognitively coherent remote physical