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Field
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: prior technical project management experience and excellent communication skills in English; expertise in Artificial Intelligence based Computational Fluid Dynamics frameworks; knowledge of physics
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their escape responses to various acoustic, optical, and mechanical stimuli; the other at Delft University of Technology, working on the engineering aspects of fluid-dynamics-based stimuli. Additionally, you
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(assessment of membrane processes and water quality analysis) are required. Experience in computational fluid dynamics modelling of water treatment and desalination processes is an advantage. Willingness
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industrial and academic partners. The overall goal of the project is to optimize the design of water eletrolyzers for efficient green energy production. You will be conducting Computational Fluid Dynamic (CFD
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, population dynamics, evolutionary ecology, pattern formation, fluid dynamics and turbulence. The appointment will be for two years, with possible extensions depending on funding availability. Oppourtunities
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industrial and academic partners. The overall goal of the project is to optimize the design of water eletrolyzers for efficient green energy production. You will be conducting Computational Fluid Dynamic (CFD
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methods (LBM). For fluid simulations, we utilize the high-performance LBM framework waLBerla, predominantly written in C++, but increasingly adapted for GPU computations through automatic code generation