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PhD scholarship on Fast and accurate machine-learning surrogates of atmospheric flow dynamics with applications in wind energy - DTU Wind

DTU, Danmarks Tekniske Universitet

đź“ŤGreater Copenhagen
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Posted on: September 03, 2024

Job Description

Are you eager to explore advanced machine-learning techniques and enthusiastic about accelerating the green energy transition by improving modeling of wind farm wake aerodynamics? If so, this PhD scholarship is for you. The aim of this PhD project is to expand an existing framework for fast and accurate modeling of wind farm wake aerodynamics as presented by Andersen and Murcia Leon, 2022.