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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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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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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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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
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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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the correctness, robustness and reliability of deep neural networks and AI-enabled software systems. Job Responsibilities: Develop novel methods and algorithms for the verification, testing and robustness analysis
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, which have the clinical value in the real-world employment. • To develop novel models and algorithms for 2D or 3D medical vision tasks, such as surgical scene segmentation, depth estimation, etc
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analytical tasks, which have the clinical value in the real-world employment. • Developing novel models and algorithms for 2D or 3D medical vision tasks, such as surgical scene segmentation, depth