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substrates while advancing our understanding of deep learning through dynamical systems theory. You will work with two cutting-edge experimental systems: (1) light-controlled active particle ensembles
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of Computer Science is part of the TUM School of Computation, Information and Technology (CIT). **Employment Conditions** • Start date: Flexible, from January 2026 onward • Salary: Based on the German public sector pay
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environment in the fields of science, technology and administration as well as for the education of highly qualified young scientists. We are seeking two motivated PhD candidates to develop a novel multi-scale
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a doctorate. We are looking for: candidates with a Master’s degree in mathematics or a closely related field and with a strong background in probability theory. Prior knowledge in spatial stochastic
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of membrane electrode assembly for fuel cell Your profile Completed university studies (Master/Diploma) in the field of Mechanical Engineering, Process Engineering, Chemistry, Physics or related field Very good
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position is to be filled at the institute at the earliest possible date, for a fixed term of three years, as part of the DFG funded project “A modular prion-like domain code for the activation of the heat
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%, currently 29.85 hours/week). The position is funded by the German Federal Ministry of Research, Technology and Space (BMFTR) until 30.09.2028. Within this project, and in a collaboration between the
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. Profile: • As a successful candidate (m/f/div) you should have a Master’s degree or Diploma in Chemistry, Materials Science or Chemical Engineering. • Profound knowledge of materials synthesis and their
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Description This PhD project builds on ongoing research projects in the area of photocatalytic membranes at IAMT. Current work will be expanded to (select) novel materials and membrane preparation
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experimentation (IMD-3: Institute of Energy Materials and Devices – Photovoltaics) and high-performance computation (IET-3: Institute of Energy Technologies – Theory and Computation) towards the overarching aim