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desire to do high-quality research Why TUM? TUM is consistently ranked among the best universities in Europe and as the top technical university in Germany. Our group is part of the School of Computation
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12.01.2026, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%; initial
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. Classical cryptographic techniques face inherent limitations, especially regarding future threats from quantum computers or AI-driven adversarial strategies. Physical layer security offers a promising
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part of an international team Desired Qualifications Familiarity with cloud computing platforms and large-scale data processing German language skills Publications in computer vision or machine learning
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to pursue a doctoral degree (Ph.D.). Remuneration is 100% TVL E13 according to the German public sector rates. CCBE's interdisciplinary team is performing research in the broad field of computational methods
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expertise in developing and training machine learning models (ideally with a focus on LLM), high-performance computing, data management, and software architecture Strong Python programming skills and
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the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography
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academic performance. Experience with stochastic methods, risk and reliability analysis, and data analysis. Programming experience in Python, MATLAB, C/C++, or a similar language. Strong analytical
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infrastructure, vehicles, and humans. Your responsibilities High-quality research on generative AI methods(LLMs, VLMs, diffusion models) with a strong connection to traffic simulation, autonomous driving, and
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permanent funding as part of the German and Bavarian government's AI strategy. Our vision is to strengthen regional, national, and international competence in AI and to make the corresponding potential