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current power grid operation by incrementally conceptualizing asynchronicity using power electronics as a fundamental block. Inspired by the structural principles of the internet, the store-and-forward
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degree in human-computer interaction, computer science, interaction design, applied artificial intelligence, architectural design, or a related field. We welcome candidates from diverse backgrounds
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in electrical engineering, computer engineering, computer science, or similar. Strong background in communication systems, optimization, or machine learning for networked systems. Experience and
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for this postdoctoral should have the following qualifications: Ph. D. degree in data science, electrical engineering, computer engineering, computer science, mathematical engineering, or similar. Proven track record in
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Engineering, Power Electronics and control with strong focus on AI and machine learning and should be able to design and validate advanced control strategies for grid-forming inverters, apply AI and machine