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Nicolai Rothe is a professor at the Technische Universität Berlin, specializing in Mathematical Modeling of Industrial Life Cycles. His research focuses on statistical modeling of downtimes of mechanical components and the interaction of such models with service life concepts and design. In the field of artificial intelligence, he investigates the uncertainty and fallibility of AI models as well as generative AI in the simulation of physical processes. He defended his dissertation titled 'New Insights Cosmological Solutions Semiclassical Einstein Equation' on June 6, 2025. His work encompasses both theoretical and practical applications, emphasizing the importance of hands-on learning in fostering successful research.
Requirements are consistent for general engineering and computer science programs. Specific advanced master's (MBA/Energy) may require 1 year of professional experience.