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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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achieve this, you must have prior knowledge in the following topic: Wind farm flow modelling Machine learning Python scientific programming Excellent communication skills, both in writing and oral
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to be part of a world leading research environment and contribute to the development for the next generation scientific machine learning tools for power systems. One PhD student will focus on physics
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. Experience with simulation tools, including Isaac Gym, Isaac Sim, Aerial Gym. Experience with ROS, and especially real-life aerial robots. Experience with open-source tools for deep learning, computer vision
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to be part of a world leading research environment and contribute to the development for the next generation scientific machine learning tools for power systems. One PhD student will focus on physics