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08.09.2025, Wissenschaftliches Personal with a strong connection to partial differential equations (numerics / analysis / modeling) (100%, TV-L) is available starting immediately. The position in
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interdisciplinary team. Applicants with strong background in the following fields are preferred: Dynamical Systems Control Theory Formal Methods Machine Learning Context The applicant will be directly advised by Prof
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The Max Planck Institute for Demographic Research (MPIDR) is recruiting highly qualified Post-Docs or more senior Research Scientists to join the Lab of Migration and Mobility and/or the Lab
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Max Planck Institute for Nuclear Physics, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 2 months ago
Job Code: 10-2025 Job Offer from July 21, 2025 The Max Planck Institute for Nuclear Physics is one of 84 research institutes of the Max Planck Society for the Advancement of Science e.V. (MPG
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Max Planck Institute for the Structure and Dynamics of Matter, Hamburg | Hamburg, Hamburg | Germany | 3 months ago
-Bahrenfeld and investigates non-equilibrium quantum phenomena down to elementary timescales. The theory department of A. Rubio is specialized on the ab-initio description of (quantized) light-matter
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to climate neutrality. The focus is on work on the electricity and building sectors, industry, sustainable finance and international sector-related cooperation in climate protection. Starting on 01.10.2025
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by the German Research Foundation DFG. The position we offer is a 3.5-year-position at a salary level of 100% of an E13 TV-L position, the standard type of position for postdocs in Germany. There will
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: Dynamical Systems Control Theory Formal Methods Reachability Analysis Computational Geometry Context The applicant will be directly advised by Prof. Matthias Althoff (https://www.ce.cit.tum.de/cps/members
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communication system are modeled using information theory. We wish to investigate how interleaving can reduce the overhead and computational load due to coding coefficients required in classical linear random
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: - QUANTITATIVE VERIFICATION: analysis of probabilistic systems (Markov decision processes, stochastic games, chemical reaction networks), automata theory and temporal logic, machine learning in verification