62 evolution "https:" "https:" "https:" "Multiple" "I.E" PhD positions at Technical University of Munich
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Manipulation in Cluttered and Dynamic Environments (ID: TUEILSY-PHD20240930-SCMM) A more detailed topic description can be found at https://www.ce.cit.tum.de/lsy/open-positions/open-phd-positions/ . Requirements
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. More than 70 professors from multiple TUM faculties collaborate within MIRMI, fostering an exceptional environment for cutting-edge, high-impact research. Position Overview We are seeking an exceptional and
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to challenging questions in the field of computational material design, especially with the help of CALPHAD-based methods. For further development of our simulation environment (https://github.com/cmatdesign
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application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: fabian.frick@tum.de More Information https://www.ep.mgt.tum.de/en/pur/team/vacancies/
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resource economics) or related disciplines strong analytical (i.e. microeconomics, production or resource economics) and methodological skills with a focus on quantitative data analysis (e.g. econometrics
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. Ledendecker at the HI-ERN in Erlangen. The department specializes in the development of metal-based inorganic catalysts aimed at advancing the global energy transition. Our research focuses on using various
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, engineering, data science, and computer science. Skill Development: Our extensive qualification concept goes beyond research, offering targeted training in research methods, project management, and leadership
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on the development and application of an integrated economic-biophysical framework to assess the role of digital tools and technologies. Candidates for both positions will be interviewed by the project team. Your
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of teleoperation, work organization, and simulator development for automated vehicle fleets in public transportation. About Us The Chair of Ergonomics, headed by Prof. Dr. Klaus Bengler, conducts research and
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modeling with experimental validation and has two major objectives: Development of a physics-informed neural network (PINN) framework You will design and implement a simulation framework to model