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Field
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background in Computational Fluid Dynamics, should be familiar with High Performing Computing, including coding in CUDA, and should have knowledge of C++, Julia and Python; d) Ability to work both
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Netherlands Application Deadline 8 Oct 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 40.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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candidate with: A Master’s degree (or equivalent) in mechanical engineering, applied physics, or related discipline; A relevant background in fluid mechanics and experimental methods; Hands-on experience with
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combines: Fluid dynamics and heat transfer (theory and experiments), Computational modeling, and Machine learning / computer vision for data analysis and pattern recognition. The goal is to improve
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critical, to ensure expected engine performance is achieved. To predict this complex flow and heat transfer, next-generation Computational Fluid Dynamics (CFD) solvers using Large-Eddy Simulation (LES) and
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-ray computer tomography. The position will be open at the Fluid Dynamic division of Mechanical and Maritime Science department. The research at the Division covers turbulent flow (both compressible and
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as the offer novel possibilities to tailor, particularly the through-thickness direction, characteristics. The PhD supervision will be held at Fluid Dynamic division of Mechanical and Maritime Science
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methods in fluid dynamics and heat transfer to study multiphase flow phenomena. The goal is to integrate theoretical and experimental fluid dynamics with modern computational tools to analyze and predict
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microswimmers/microrobots that can move and interact autonomously in 3D environments, mimicking the complex dynamics of microorganisms in fluids. Living systems such as bacteria or algae exhibit remarkable
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-chip (OoC) technology offer precise control over critical parameters such as fluid dynamics and mechanical stimuli that closely mimic in vivo conditions. This project aims to develop a vascularized liver