41 communication-engineering-"https:" "https:" "https:" "https:" "https:" positions at Technical University of Munich
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, Communications Engineering, or a related field. Strong knowledge of Information Theory, in particular Shannon Theory. Knowledge of coding theory. Interest in mathematics. Knowledge of artificial intelligence is a
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excitations and excitonic effects using advanced Wannier-based methods * Quantum transport in polymer materials with electron–phonon coupling Full details and application instructions: https://www.ch.nat.tum.de
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04.03.2026, Academic staff The Professorship for Learning Analytics (LEAPS) at the TUM School of Social Sciences and Technology, Technical University of Munich, is seeking, within the DFG/ANR-funded
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health, stem cell technology, and epidemiology. This collaborative environment fosters innovation and skill development, providing hands-on training in organoid culture, pollutant exposure methods, and
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robustness against various types of jamming. Integrated Sensing and Communication (ISAC) systems are becoming a key enabling technology for next‑generation wireless networks. However, these systems
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the area of strategy&technology. Here, we research, among others, the influence of artificial intelligence on corporate strategies, the integration of AI in strategy processes, and the importance
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. Your profile M.Sc. degree in Chemistry, Materials Science, Chemical Engineering, or a related discipline. Strong interest in separation processes and material processing. Hands-on experience in working
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be qualified for this position, you should have ▪ Excellent master’s degree in Electrical Engineering, Communications Engineering, or a related field ▪ Strong knowledge in wireless communication
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Technology, the Munich Data Science Institute, and the TUM EdTech Centre. Project Description When students communicate online through forums, collaborative documents, or chat, they leave traces of how
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for clinical text, imaging, and laboratory data Building and maintaining reproducible experiments, benchmarking pipelines, and analyses Collaborating with clinicians, data scientists, and software engineers