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research project on the optimal energy storage control under distribution system constraints. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and
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. Position details Employer: Technical University of Munich, School of Social Sciences and Technology. You must be willing to enroll in a doctoral programme at the TUM School of Social Sciences and Technology
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. We develop novel optimization methods, Machine Learning algorithms, and prototypical Energy Management systems (EMS) controlling complex energy systems like buildings, electricity distribution grids
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time, their fleets are one of the most valuable flexibility resources in the distribution grid. When a truck is connected to the grid, and for how long, is determined by fleet operations – but
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put emphasis on methods of distributed computing, machine learning, image and text analysis, randomized data structures, high-performance computing, and quantum algorithms. Beyond this research, we aim
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, manipulation, and other adversarial attacks. Conventional cryptographic methods alone may not be sufficient for highly dynamic, distributed, or resource-constrained wireless systems. The project aims to develop
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. This position investigates how modernization can instead be made spec-driven, traceable, and verifiable, combining deterministic program analysis with agentic AI components. The work is grounded in real legacy
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methods, Machine Learning algorithms, and prototypical Energy Management systems (EMS) controlling complex energy systems like buildings, electricity distribution grids and thermal energy systems for a
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, organization, compression, analysis, and visualization of georeferenced or geometric data on large scales. We put emphasis on methods of distributed computing, machine learning, image and text analysis
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07.08.2025, Academic staff The Chair of Computational Mathematics at the Technical University of Munich (TUM) invites applications for one PhD position. The Chair of Computational Mathematics