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to obtain research funding Required Skills & Experience A Ph.D. with excellent academic results in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Computer Science, Physics, or a
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come from the top ranks of physics, engineering, chemistry, biology, and medicine-frequently yielding to high-impact papers, successful technology spin-offs, and commercialization. Moreover, our studies
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areas, notably in Physics-Enhanced Machine Learning, Computer Vision & AI, and AI in Health Care and Medicine.The position is a full-time position (100%), initially for 2 years and 3 months, with
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of extension. The ideal candidate will have an excellent PhD in one of these areas or related fields (in mathematics, theoretical physics, or a related discipline.) The candidate should have an excellent
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of Munich (TUM). Please view our privacy policy on collecting and processing personal data in the course of the application process pursuant to Art. 13 of the General Data Protection Regulation
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energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research process includes
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energy efficiency while keeping the grid reliable and secure. Our research method is engineering-oriented, prototype-driven, and highly interdisciplinary. Our typical research process includes
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documents to claus.schwechheimer@tum.de The position is available immediately. The selection process will remain open until a suitable candidate is found. TUM aims to increase the proportion of women
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to 2 years; an extension of an additional 2 years is possible. TASKS: Mathematical and physical modeling to determine greenhouse gas and pollutant emissions in cities using novel atmospheric measurements
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24.02.2022, Wissenschaftliches Personal The Munich Quantum Valley aims at developing a full quantum computing stack, from the application level to the physical quantum hardware. Within