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will join the growing team of researchers on the ERC project CONTEXT, working at the intersection of scientific machine learning and fluid dynamics, under the supervision of Anh Khoa Doan. You will also
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) systems. Proficiency in MATLAB, Python, and LabVIEW programming languages is essential. Demonstrated research experience with a strong record of peer-reviewed publications in fluid dynamics, turbulence, air
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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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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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accuracy is still limited. In contrast, computational fluid dynamics (CFD) models can capture the arc physics and molten pool dynamics, including arc energy transfer and liquid metal convection within
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The objective of this post-doctoral research is to
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applications. The project integrates: Computational Fluid Dynamics (CFD) and multiphase flow modeling Radiative heat transfer Machine learning and reduced-order modeling Data-driven optimization for industrial
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, mechatronics, thermal, fluids). Expertise in engineering design (mechanics, team-based, numerical, computer-aided). Ability to develop and teach upper-level undergraduate and graduate courses. Demonstrated
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bachelor's, master's and doctoral degree programs offered, UT Tyler provides a wealth of learning opportunities and dynamic programs. For more information, please visit https://www.uttyler.edu/about/ . Why
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report of the courses attended on the following topics: Analysis of Partial Differential Equations, Continuum Mechanics and Fluid Dynamics, Functional Analysis, Numerical Analysis, Probability and