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, or related discipline; A relevant background in fluid mechanics and experimental methods; Hands-on experience with modern experimental methods for flow measurement is preferable; Affinity for working with
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initiation in the following areas are helpful: Strong background on computational fluid dynamics (CFD) and design software using ANSYS and SolidWorks. Experience on high performance computing is desirable
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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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hydrodynamics for novel marine vehicles, including large ships and small AUVs and offshore renewable energy systems including offshore wind. You are expected to perform advanced computational fluid dynamics
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Vacancies PhD position on the design and fabrication of MEMS drag force-based flow and fluid composition sensors Key takeaways In this project, we will combine well-known thermal flow sensing
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and modelling techniques. Real-World Impact: Contribute to transformative technologies in clean energy and carbon capture. Future job opportunities: Digital modelling and computational fluid dynamics
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Computational Fluid Dynamics (CFD) models; data-based models determined from training/calibration data by system/parameter identification and machine learning. The key challenge is striking a balance between, on
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transitions, flow dynamics, stratification) inside thermal storages containing PCMs? How can we describe via validated multi-physics simulation models; heat transfer, flow behavior, and phase changes? Your task
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to the proportion and composition of mineral, melt and fluid phases across a range of geologically-relevant pressure, temperature and composition. With constraints on the partitioning of trace elements among
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Application deadline: All year round Research theme: Applied Mathematics, Mechanical and Aerospace Engineering, Fluid Dynamics How to apply:uom.link/pgr-apply-2425 How many positions: 1 This 3.5