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Master Thesis - Physics-Informed Machine Learning for Dynamic Power System Characterization

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Unknown company Master Thesis - Physics-Informed Machine Learning for Dynamic Power System Characterization

Place of Employment: Jülich Start Date: To the next possible date Salary: We will pay you a appropriate remunerationfor your thesis Application Deadline: The position will be published until it is successfully filled Index number: 2026M-0692 Your Job The transition toward renewable and converter-interfaced energy resources is creating increasingly fast and complex dynamics in modern power systems. In this Master’s thesis, you will develop a physics-informed digital-twinning approach to better c…

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Master Thesis - Physics-Informed Machine Learning for Dynamic Power System Characterization

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