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eólicas flotantes. Laboratory experiments and Computational Fluid Dynamics simulations—particularly using the Smoothed Particle Hydrodynamics (SPH) numerical technique—of the sloshing phenomena occurring
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engineering, physics, atmospheric sciences, or a closely related field. - Strong publication record and demonstrated experience in computational fluid dynamics, turbulence modeling, and wind energy
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, Aeronautical, Civil, Chemical Engineering, Applied Mathematics or Physics. Knowledge, skills: Fluid mechanics; desirable: wall-bounded shear flows, aerodynamics. Numerical analysis, in particular Computational
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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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multidisciplinary team of researchers spanning geology, geophysical fluid dynamics, applied mathematics and geophysical/geodetic volcano monitoring to deliver a step-change in understanding the origin of surface
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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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profiles using energy modelling tools • Build thermo-fluid dynamic models of HVAC and district cooling networks • Propose improved system architectures and network efficiency strategies • Design and validate
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, in a PhD degree-awarding study programme offered by a Higher Education Institution. . Minimum profile: Experience in fluid-structure interaction, numerical modeling, dynamic analysis of offshore
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-principles, network-based framework for plant water and carbon transport under climate extremes. The successful candidate will work at the interface of plant physiology, fluid mechanics, network theory
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are: Analysis of PDEs in classical and non-classical fluid mechanics, dispersive PDEs, hyperbolic systems of conservation laws, pattern analysis, numerical linear algebra, numerical methods for PDEs and dynamical