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students and is rapidly expanding its range of education and research activities. The Centre for Urban Solutions in the School of CEE is to provide leadership in developing innovative solutions and
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implement VLA models and world models. Develop and optimize deep learning algorithms to enable robotic arms to perform complex tasks guided by natural language instructions. Utilize PyTorch to train and fine
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to publications in top-tier international conferences and journals, as well as real-world implementations. The role includes designing novel algorithms, building robust software systems, and collaborating with
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support the development, simulation, testing, and implementation of collaborative control algorithms for multi-agent robotic systems, under the guidance of the PI and senior researchers. The work will first
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localization algorithms, spearhead energy-aware navigation planning systems development, and oversee real world validation of underwater navigation technologies while mentoring junior team members. Key
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will work closely with interdisciplinary researchers and engineers to develop novel AI algorithms, publish in top-tier venues, and translate research innovations into real-world sustainability solutions
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Description Candidate will collaborate with the research team to develop methodologies for co-design of AI hardware accelerators. The key focus will be to develop simulation methodologies, models and tools
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conduct research on 3D reconstruction, with a particular focus on developing advanced 3D Gaussian Splatting techniques for dynamic and streaming scenarios. The role will involve designing and implementing
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the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon
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-control systems. Develop swarm coordination, task allocation, multi-agent path-planning, collaborative perception, and inter-drone information-sharing algorithms. Conduct simulation, hardware-in-the-loop