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I offer projects broadly related to supernova explosions and the final stages in the lives of massive stars. Specific topics of interest include fluid dynamics processes in stellar explosions and
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-phase species (e.g., laser-based imaging diagnostics, setup of model reactors, modeling of underlying reactions, multiscale simulation of reactive fluids, computational fluid dynamics) What we offer
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simulation, thermodynamics, or computational fluid dynamics is desirable. For informal enquiries please contact, Prof Vahid Niasar - vahid.niasar@manchester.ac.uk . We strongly recommend that you carefully
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, fluid flow, and solute transport. Develop efficient computational coupling strategies to integrate these physical processes. Apply advanced numerical methods to construct dendrite growth models, including
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will focus on the development and application of computational fluid dynamics (CFD), multiphysics modelling, and AI-driven optimisation for RAM systems. These approaches will be used to better understand
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closely related area. Experience with computational fluid dynamics, ideally DNS/LES, and confidence working with large‑scale simulations. Solid programming skills in languages commonly used for scientific
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What you’ll be doing In the Complex Dynamical Systems Group (Prof. Andreas Kugi) and in close cooperation with an internationally active, industrial research partner you will develop new methods
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disciplines like Aerospace Engineering, Control Engineering or a comparable field of study • Strong fundamentals in thermodynamics and fluid dynamics • Experience in Coding, in particular Python • Strong
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be compared and calibrated. In-silico technique based on Computational Fluid Dynamics (CFD) will also be developed to provide further information necessary for the development of new MRI image scanning
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capture technologies. In this project, you will: Develop a 3D Digital Model: Create an advanced computational model of high-pressure mechanical seals. Apply Computational Fluid Dynamics (CFD): Simulate gas