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, with expertise in dynamic/data-driven modeling, optimization, Aspen, COMSOL, or CFD b. Techno-economic analysis (TEA) & life-cycle assessment (LCA) for chemical, energy, or biomanufacturing processes
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will focus on efficient probabilistic analysis of high-dimensional and dynamic systems, including advanced sampling, surrogate modelling, and AI or machine-learning methods where appropriate. Key
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Requirements: PhD degree in Civil Engineering, Ocean Engineering, Mechanical Engineering, or a related discipline. Research experience in hydrodynamics and structural dynamics. Strong publication record in
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A) and help to lead the charge in discovering, fabricating, and optimising emerging 2D halide perovskite materials. Positioned at the dynamic intersection of materials science, optoelectronics
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Osmosis (NF/RO) Membrane for Industrial Separation and Purification Application” Key Responsibilities: Integrating Machine Learning (ML) with Molecular Dynamics (MD) to predict phase-separation dynamics and
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research. We are seeking a highly motivated research fellow to join our dynamic team
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Materials, Bioinspired Materials and Sustainable Materials. For more details, please view https://www.ntu.edu.sg/mse/research. We are seeking a highly motivated research fellow to join our dynamic team
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to evaluate powder bed behaviour, melt pool dynamics, and inter-material transition zones, assessing their impact on process stability, densification, and component performance. Analyse experimental and
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arrays, advanced synchronous dynamic random-access memories, microprocessors and system-on-chip devices. The research will focus on the development of best industrial practices for the radiation testing
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staff will play a key role in building and integrating of AI agents into gaming scenarios (e.g., gameplay, interactions, procedural content generation, dynamic narratives), and integrating a multimodal