10 msc-in-statistical-learning PhD positions at Technical University of Denmark in Denmark
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model checking. You should be well versed in basic statistics and practical programming skills is a must. Knowledge about the inner workings of GenAI would be nice but not necessary. You must have a two
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is to create and combine knowledge on relevant atmospheric flow statistics with AWE time-domain analysis and uncertainty quantification, to determine loads statistics and failure probabilities
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learning, statistical analysis, and other contemporary data-driven techniques. Computational methods such as optimization, filtering algorithms, predictors, etc. Software and coding skills with, e.g., Python
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: Machine learning techniques, statistics, and probabilities Numerical methods for time-domain simulations Power system dynamics Power system optimization Programming tools such as Python, Julia, Pytorch, etc
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: Machine learning techniques, statistics, and probabilities Numerical methods for time-domain simulations Power system dynamics Power system optimization Programming tools such as Python, Julia, Pytorch, etc
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and control-theoretic tools to identify and isolate cyber-attacks in power systems. Approach : We will investigate state-of-the-art statistical learning tools and recent advancements in optimisation
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supervisors. The successful candidate has a master’s degree in data sciences willing to learn about electrical systems or has a master’s degree in electrical engineering with a strong interest in data science