12 learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions at Technical University of Munich
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10.06.2026, Academic staff A post-doctoral position is available in Physics-informed Generative Modeling and Multiscale Learning. The successful candidate will work at the interface of physics-based
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Science in Earth Observation develops innovative signal processing and machine learning methods, and big data analytics solutions to extract highly accurate large-scale geo-information from big Earth
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19.07.2022, Academic staff The Machine Learning and Information Processing group at TUM works in the intersection of machine learning and signal/information processing with a current focus on deep
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) Ability to teach in both German and English Ability to work independently as well as part of a team Fluency in scientific English (at least level B2 or comparable) Research interests in political violence
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22.12.2025, Academic staff We are an interdisciplinary team at the Chair of Safety, Performance and Reliability for Learning Systems, and we are looking for exceptional postdoctoral researchers
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quantitative skills (R, Python, or Stata; experience with machine learning or advanced experimental methods is a plus). ▪ Familiarity with VR-related toolkits (e.g., Unity, Unreal, or eye tracking) is an
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actively seek, select, and evaluate information to learn about the world. This is an open-topic position for doctoral or postdoctoral researchers who wish to pursue their own research ideas within the broad
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, imaging). • Solid foundations in signal processing and statistics. • Experience with machine learning for regression (e.g., tree-based methods, neural networks) • Hands-on experimental skills: ability and
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within a stimulating environment and gain international exposure through our partners and collaborators across Europe and the world. We support career development, continued education, life-long learning
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of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning