87 approximation-theory-math PhD positions at Technical University of Denmark in Denmark
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master's degree. The degree could be in aquatic science, biology, physics, math, engineering, or similar. You are expected to demonstrate proficiency in written and spoken English. Analytical skills and
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. This position is funded by the Danish Research Council Project 1 (DRC-1), which aims to address fundamental problems in geometric singular perturbation theory within the setting of slow-fast analytic vector
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(density functional theory and ab-initio molecular dynamics simulations) with artificial intelligence techniques to parameterize machine learning force fields and kinetic Monte Carlo methods to model
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strain theory and advanced hyper elastic material models incl. anisotropy You preferably have insights into topology optimization and/or finite element analysis and are committed to improving state
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include Master’s-level in Mechanical Engineering, Aerospace Engineering, Control Engineering, Wind Energy, or a closely related field. Strong background in control theory, fluid dynamics, structural
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theory around the pace-of-life of marine fish and simulate fast and slow life history strategies within fish populations and fish community food webs. This research aims to examine how these strategies
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on the most advanced theories, models, using first-hand cases and data from the wind energy industry, to lift our understanding of wind and wave characteristics during storms in the presence of wind farms
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strong multi-disciplinary focus on energy markets, optimisation, game theory, control and machine learning. The EMA section (https://wind.dtu.dk/research/research-divisions/power-and-energy-systems
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into this environment are invited to apply. Experience in quantum nanophotonics, quantum photonic devices, nanoscience, nanotechnology, and quantum dots is welcomed. Learn more about the project here: nikaakopian.org