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Field
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of fluid mechanics and rheology is highly desired. Knowledge on materials chemistry and/or prior experience with numerical simulations/computational work is a plus. The candidate also has great team work
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Job Description We are seeking a candidate for a 3-year PhD program as part of the European Marie Skłodowska-Curie Actions Doctoral Network on “Airborne Wind Energy TRAining for Industrialization
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techniques with computational models for a holistic characterisation of HV fluid-structure interaction behaviour. The HVs will be tested in a pulsatile flow mock loop that simulates cardiovascular flow and
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will use advanced unsteady computational fluid dynamic methods for the analysis of coupled intake/fan configurations in crosswind and high-incidence conditions. The research will adopt these methods
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DTU Tenure Track Researcher in X-Ray Nano-Computed Tomography for Dynamic Processes in Geological...
computed tomography (CT) imaging of dynamic processes Thorough knowledge and understanding of different nano-CT beamlines, their usage and limitations for in-situ imaging Image segmentation and pore-network
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on the use of state-of-the-art Computational Fluid Dynamics (CFD) to diagnose the air quality status of those spaces (presence of pollutants, ventilation, humidity) and to propose measures to improve it. Such
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Aviation by 2050. This exciting doctoral project, in collaboration with Rolls-Royce, will develop innovative computer vision methods which when combined with optical flow velocimetry will enable imaging
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in PDEs and data science (e.g., model order reduction, POD, autoencoders, neural networks, low-rank methods) is necessary. - Good knowledge of fluid dynamics and free-surface flows is required
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research program on Wind Assisted Ship Propulsion (WASP) focusing on three research themes: 1) Fluid dynamics, 2) Design and operation, and 3) Sustainable and societal impact. This PhD position is part of
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. This project seeks to enhance the phase-field method, enabling more accurate predictions of fracture under dynamic conditions. State-of-the-art computational techniques combined with insights from advanced