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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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changes), Computer Science and Informatics (Numerical Analysis; simulation, optimization and modelling tools; Computational Fluid Dynamics (CFD)), Product and Processes Engineering (Space Engineering
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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