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), Co-PI and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: i. Carry out dynamic modelling and simulation of the energy storage
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to apply advanced AI models in areas such as catalyst design, multi-scale modeling, and spectroscopic analysis. The Research Fellow will take on a significant role in machine learning theoretical energy
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condensed matter physics, quantum chemistry, and materials modelling is needed. This position will contribute to cutting-edge research in density functional theory (DFT)-based simulations for materials
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Materials, Bioinspired Materials and Sustainable Materials. In MSE, Prof. Li Shuzhou is interested in exploring cutting-edge scientific opportunities in computational and theoretical material modelling
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and synthesis of novel materials. Key Responsibilities: Develop and apply generative AI models for materials discovery, leveraging deep learning, Bayesian optimization, and active learning. Integrate
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, codes, and calculations with minimum oversight. • Perform simulations to assess various study design options and analysis approaches. • Monitor discretionary spending in a team to ensure that spending is
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simulation models (e.g., using MATLAB) to analyze complex nonlinear optical phenomena. Collaborate with interdisciplinary teams to explore practical applications of ultrafast laser systems. Prepare high
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civil engineering and will focus on nondestructive evaluation, wave field modeling, and AI for the smart maintenance of civil infrastructure systems. The position is also aimed to assist the development
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%20Programmes/MCCS%20Programme). The primary role involves developing and validating CFD models to study wave attenuation by mangroves, seagrass, and coral. Responsibilities include calibrating simulations with
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circuit modeling, simulation, and layout design techniques. Proficiency with using relevant tools such as ADS, HFSS, Cadence and Matlab etc. Familiarity with RF/mm-wave transceiver architectures and