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Field
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concrete. About us Digital Structures with Mineral Materials is a new professorship at the TU Munich, focusing on the de-velopment of structural engineering, design, analysis and modelling methods
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capability. Comprehensive education: Enjoy numerous opportunities for scientific training, skills development and problem solving. Diverse research areas: Work on numerical models, analyzing large data sets
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of numerical methods Basic programming skills, e.g., Python, Mathematica or similar languages Fluent spoken and written English Proficiency of the German language is a plus. We offer: a unique opportunity to
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establish a research profile. Develop and execute innovative research projects. Develop, train, and evaluate modern machine-learning models on GPU/HPC infrastructure. Integrate AI methods with scientific
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intrinsic many-body dynamics of a system protect quantum information against errors and noise? Combining methods from statistical mechanics, quantum information, and condensed matter, you will map noisy and
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understood as open-ended in the context of comprehensive knowledge production. In this, the methods of artistic knowledge production and their reflection play a central role. They form the necessary and
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skills (e.g., numerical methods, statistical analysis, coding, data management) Good communication skills Ability to work in a team Driving license category B desirable (access to field sites) Your Tasks
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concentrations. Your Job To make reliable predictions and analyses of air pollution, data assimilation methods, which integrate observational data into model simulation to update the model state and the underlying
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, high-performance computing, and quantum computing Strong background in mathematics, optimization, numerical methods, or scientific computing Excellent programming skills (e.g., Python, C/C++, Julia
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Profile PhD in Electrical Engineering, Mechanical Engineering or a related field Background in numerical methods, mathematical modeling, and network simulation or analysis Good understanding of power