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. The successful candidate will assist in developing novel algorithms and integrating them into robotic platforms, helping to push the boundaries of embodied intelligence in both research and practical deployment
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theory, such as method of moment (MoM). • Experienced in computational algorithm on Finite Element Method (FEM) • Possess knowledge of electromagnetic theory, such as Dyadic Green’s function and
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accurate quantification of disasters using remote sensing and space geodesy. They will also advance InSAR processing algorithms to optimise deformation mapping and change detection capability in Southeast
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intelligence (AI), and high-performance computing (HPC), as well as quantum-inspired algorithms and quantum machine learning (QML). Responsibilities: Lead and contribute to applied quantum computing research
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on robotics and automation within the construction and built environment. The successful candidate will play a key role in developing an algorithmic solution for robotics that integrated with Building
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Job Description • Develop dynamic models and simulation frameworks for a novel pier-free telescopic coastal barrier system. • Design and implement coordinated control algorithms
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visual technology and LLM, and the interface of AI algorithms with surgical robotics. The RA will design and implement cutting-edge algorithms and also be actively involved in the development AI tools
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foundation models. The Successful Candidate Is Required To: • Contribute to research on post-training of LLMs. • Implement machine learning algorithms, experimental frameworks, and research prototypes
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fairness. • Develop and evaluate large language models, foundation models, and agentic AI systems. • Implement machine learning algorithms, experimental frameworks, and research prototypes
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Start Date: 26/06/2026 Apply AI/ML models and screening algorithms for the accelerated design and structural discovery of novel porous materials (e.g., MOFs/COFs); Conduct laboratory synthesis, activation