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Program
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Field
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of stochastic perturbations of fluid dynamic equations related to convection. Close interaction with other MPI MiS groups, especially "Applied Analysis" (László Székelyhidi) and "Pattern Formation, Energy
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profile in Fluid Mechanics with a special focus on flows in wind farms and the interaction with wind farm control. Computational Fluid Dynamics will be an integral part of the scientific research including
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of real-world exposome scenarios. The doctoral candidate will quantify the kinetics of homo- and heteroaggregation, as well as sedimentation dynamics in biological fluids, using dynamic light scattering
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into include: Upscaling of multiphysics transport phenomena Film formation and efflorescence Multiphase Computational Fluid Dynamics High-performance computing Where to apply Website https
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reactors, combining the advanced multiphase fluid dynamics, cavitating flow control, and reactor engineering. The successful candidate will: Design and optimize hydrodynamic cavitation reactor geometries
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UMR 6524, Clermont-Auvergne University. Collaboration with the IMFT (Institute of Fluid Mechanics, Toulouse) for the numerical modelling. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR6524
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. Spectral dynamics of the conditional Lyapunov vector (https://www-cambridge-org.sheffield.idm.oclc.org/core/journals/journal-of-fluid-mechanics/article/spectral-dynamics-and-spatial-structures
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plant at a SIT Punggol campus Assist in carrying out of experiment, data logging and analysis of data collected. Work with computational fluid dynamics (CFD) results generated by an expert to correlate
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of Fluid Dynamics conducts both fundamental and applied research in the fields of thermo-fluid dynamics and magnetohydrodynamics to enhance the sustainability, the energy efficiency, and the safety
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The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE