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). Additional project costs will also be provided. Overview We are seeking a highly motivated PhD candidate with interests and skills in computational modelling and simulations, fluid dynamics, mechanical
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imaging using deep learning. You will study the water imbibition in hierarchically porous Si‑based material systems across multiple length and time scales. These systems can manipulate fluid transport
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. From a fluid dynamics perspective, the newly formed solids can be regarded as particles suspended within the pore-scale flow. The primary objective of this project is to investigate the transport
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and hard biofouling – marine organisms that increase drag, weight and thermal resistance – potentially modifying the coupled electro-mechanical-fluid loading and causing fatigue and early failure
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-windcatcher-tech/ , https://www.windcatching.com/ ). Multi-rotor (MR) wind turbines house multiple rotors on a single support platform, which is believed to provide a wide range of techno-economic benefits
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operation, is not considered in the CMF model due to the challenge to solve the multiple partial differential equations simultaneously. With the support of the combined sponsorship from the university and
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industrial practice relies heavily on empirical optimisation, leading to inefficiencies in energy use and impurity removal. This PhD project proposes to develop a Coupled Computational Fluid Dynamics-Discrete
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study the water imbibition in hierarchically porous Si?based material systems across multiple length and time scales. These systems can manipulate fluid transport through the tailoring of their porosity
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: Position Type: Student programs Position Location: Lausanne, Vaud 1015, Switzerland [map ] Subject Area: Fluid Mechanics Appl Deadline: 2025/12/15 11:59PM (posted 2025/07/24) Position Description: Apply
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to the development of digital twins of sloshing tanks and explore collective learning approaches where multiple systems share knowledge. The PhD will be carried out in joint collaboration between the Université Libre