60 software-verification-computer-science PhD scholarships at Technical University of Munich
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18.09.2025, Wissenschaftliches Personal At the TUM School of Life Sciences one focus is on forest ecosystems, aiming to better understand their dynamics and contributing to their sustainable
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degree in a technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and
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technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and behavior planning
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15.09.2025, Wissenschaftliches Personal The Chair of Marketing Analytics, which is part of the Heilbronn Data Science Center and the TUM School of Management at the TUM Campus Heilbronn, is seeking
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, Computational Linguistics, Data Science or a similar field Good theoretical knowledge and practical experience with Natural Language Processing (rule-based and/or machine learning) Software Engineering Motivation
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04.09.2025, Wissenschaftliches Personal Funded by the Eva Mayr-Stihl Foundation, a new Centre for Forest Management in the Alps will be installed at the TUM School of Life Sciences. Within
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mathematics, (theoretical) computer science, machine learning foundations, electrical engineering, information theory, cryptography, statistics or a related field. - Advanced knowledge of probability theory
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profile: • Very good degree (Master or Diploma) in aerospace engineering, mechanical engineering, computer science or a comparable field. • Experience in machine elements, structural analysis, fault
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(https://soilsystems.net/ ), a Priority Programme (SPP 2322) funded by the Deutsche Forschungsgemeinschaft (DFG; German Research Foundation). Within SoilSystems, scientists from different disciplines from
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journals. Close collaboration with team members and colleagues. Essential qualifications: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong