70 assistant-professor-computer-science PhD positions at Technical University of Munich in Germany
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of results in peer-reviewed journals and presentation at international conferences. Requirements: Above average Master’s degree in engineering, applied mathematics, physics or computational science Good
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infrastructure for research Excellent training and career support opportunities (courses, personal coaching, ...) Your qualifications Master’s degree in Computer Science or a similar field Good theoretical
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19 Feb 2025 Job Information Organisation/Company Technical University of Munich Department Computer Science Research Field Computer science Researcher Profile First Stage Researcher (R1) Positions
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27.03.2023, Wissenschaftliches Personal As a research assistant you will be responsible for the coordination and technical conduction of a 3-year research project, aimed at the experimental
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13.02.2025, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Computer Engineering at TUM has open positions for a doctoral researcher (TV-L E13 100%, 3-4 years
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15.04.2025, Wissenschaftliches Personal The Lab for Artificial Intelligence in Medical Imaging (www.ai-med.de) is inviting applications for a fully funded PhD position in interpretable machine learning for dementia prediction. see here:...
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qualitative methods; some background in or willingness to learn computational social science methods as well as R and/or Python is highly desirable. Willingness to develop an ambitious empirical research
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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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institute’s teaching in tutorials and seminars • Enjoyment being initiative and liaising with people in the workplace • Will to achieve the Ph.D. degree (Promotion) Tasks As a research assistant, you will be
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or computational science Strong mathematical skills and interest in developing new mathematical methods Good knowledge of mathematical/numerical optimization methods or deep learning methods Enthusiasm