243 parallel-computing-numerical-methods Fellowship positions at Nanyang Technological University
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erosion, accumulate sediments, and restore land lost to seawater Develop new methods to upcycle solid waste to produce sustainable material for biocementation Perform numerical study of the model test
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deposition, exfoliation, transfer, or device integration. Familiarity with numerical simulation and modelling methods for photonic structures, such as FDTD, FEM, RCWA, or related electromagnetic simulation
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, computational modelling and related research topics. Develop, implement and validate computational simulation models for impact and injury prediction using appropriate numerical methods and software tools. Design
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, and Large Language Modelling (LLM). Conduct extensive numerical experiments to validate and evaluate the performance of the proposed models. Present research results as academic papers and reports
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. in Climate Science, Atmospheric Science, Environmental Science, Computer Science, AI/Data Science, Remote Sensing, Urban Sustainability, or a related field. Experience with Linux-based high-performance
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reports. Job Requirements: PhD in Physics, Applied Physics, Plasma Physics, or related field. Demonstrated experience in scientific computing and numerical modelling (e.g., Python/C/C++/Fortran). Experience
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for regional numerical weather prediction (NWP) system. The role will focus on exploring and adding new space-based observations in the next-generation NWP system jointly developed by the Climate and Weather
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student mentoring Job Requirements: A PhD degree in Mathematics or related areas, with focus on numerical analysis or machine learning. Experience in computational math. Proficient in coding languages
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sustainable manner. Key Responsibilities: Develop advanced experimental apparatus to investigate coupled multiphysics processes in porous materials (e.g., clay). Develop constitutive models and numerical tools
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational