18 computational-intelligence PhD positions at Technical University of Munich in Germany
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skills in programming and strong experience in computational geometric modelling. Expertise in the field of Additive Manufacturing, Construction Robotics, and/or Artificial Intelligence is very beneficial
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27.10.2025, Wissenschaftliches Personal Are you passionate about generative AI and digital twins for intelligent mobility systems? Do you see potential in using large language models, vision
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about making Artificial Intelligence (AI) in medicine transparent, trustworthy, and clinically relevant? Join the VIOLET Project: a pioneering research initiative to develop an explainable and
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position We offer a funded PhD position (75% TV-L E13), financed by the TUM Institute of Advanced Studies and the TUM Georg Nemetschek Institute of Artificial Intelligence for the Built World. You will
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area has received best paper awards at PacificVis and Graph Drawing, with recent publications in IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum. Environment
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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
of Munich (TUM), Campus Heilbronn. We are looking for exceptional candidates who are interested in pursuing a PhD in either theoretical computer science or graph and network visualization. We seek PhD
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accessible to users from science and industry Your qualifications: ■ Master’s or equivalent graduate degree in computer science, artificial intelligence, machine learning, mathematics, statistics, data science
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leading international journals and conferences • Literature research • Scientific publishing Your qualifications: • Completed academic university degree (university diploma / M.Sc.) in Computer
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• Scientific publishing Your qualifications: • Completed academic university degree (university diploma / M.Sc.) in Computer Science, Geoscience, Physics, Data Science, or comparable subjects • Experience in
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data to answer relevant questions and solve real-world problems. It brings together fundamental, methodologically driven research in optimization, machine learning, and artificial intelligence with