46 modelling-and-simulation-of-combustion-postdoc PhD positions at Technical University of Denmark in Denmark
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are developed, modelled and controlled. You will create novel adaptative, physics-informed models that tightly integrate thermo-fluid dynamic laws, deep learning neural networks, and experimental data. A key
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linked data Sensors as part of Internet of Things (IoT) and integration of sensory information in simulation models as part of Digital Building Twins (DBT) during run-time Life cycle and sustainability
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, postdocs, and PhD students, dedicated to the development and application of methods to quantify environmental sustainability. You will also play a central role in the collaborations between DTU Sustain and
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strong academic team at DTU Management’s Management Science division. Three PhD students and four PostDocs will work on the project, as well as several international experts in operations research
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primarily experimental, complemented by numerical modeling, and will be carried out within the “Fiber Optics, Devices, and Nonlinear Effects” group at DTU Electro. As a PhD student, you will be part of a
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simulation/theory of 2D materials and devices, within electronics, photonics and mass transport. Biophysics and Fluids with a focus on fluid and soft-matter dynamics on small length scales, often with life
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, stability and thereby reliability. In the process of getting to the results, it is envisaged that a number of sub-results can be produced: flow metrics and simulation models specifically tailored for AWE; a
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. Responsibilities and qualifications Conduct original research on AWES flow environment, control systems, & simulation. Develop & validate AWES models for flight dynamics and energy harvesting efficiency. Participate
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on qualified candidates for the position. DTU Chemistry is a leading chemistry department with 28 faculty, 30 postdocs, and 55 PhD students. The Organic Chemistry Section consists of 9 research groups spanning
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scientists covering a broad range of expertise in photonics and electronics. The Project in Short The project focuses on developing numerical modeling and optimization tools to explore the information