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and simulation: reduced-order modeling, simulation, data assimilation, digital twins, and computational methods for physical and engineering systems. Applications may include engineering, physics
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, astronomy or related subject by the time of the appointment. We encourage applications from candidates with strong expertise in modeling or numerical simulations. The manipulation of state-of-the-art models
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areas: Develop, calibrate and validate microscopic traffic simulation models for Hong Kong traffic conditions; Develop Web-based transportation analysis and TIA workflow modules, including network editing
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outstanding candidates whose research is centered on the mathematical modeling, analysis, numerical solution and simulation of physical, engineering, or complex systems. The position is particularly suited
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-Chem simulations for modeling aerosols and clouds in the Arctic region. - Analysis of the interactions between aerosols, clouds, and climate using data from the simulations. - Validation of the models
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. The role combines hands-on experimental mechanics with rigorous simulation and data analysis and benefits from complementary expertise in scientific machine learning and constitutive modeling of anisotropic
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infrastructural material, mechanics, manufacturing, and multi-physics modeling, simulation, and optimization research community (learn more at https://research.engineering.asu.edu/ ). We seek applicants who can
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palaeontology) and biomechanics (3D modelling and simulation; form-function correlations with performance; virtual robotics), and other research in the Structure & Motion Laboratory, Department of Comparative
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‑related R&D programs (internships, fellowships, or full‑time roles). Familiarity with simulation‑based models (e.g., physics‑based, network‑based, agent‑based, or stochastic simulations) for analysis
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and adaptation will provide inspiration for mechanisms that can be tested quantitatively on an engineering platform. The student may use computational models, physical simulation or optimisation