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Dietrich on methods for physics-enhanced machine learning. About Us Located in the prosperous capital of Bavaria and home to over 40000 students, the Technical University of Munich (TUM) is one
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mission in 2022, it is redefining Spacecraft Design by integrating generative AI into the engineering process, revolutionizing object detection in space by use of neuromorphic cameras and developing novel
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this position, you will have a chance to make an impact on the green and digital transition by developing and applying tools from artificial intelligence (AI) to physics, chemistry, and materials science. Our
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intelligence is playing an important role. However, cognitive cyber-physical systems are more than AI; they are complex, software-intensive systems that use AI. Moreover, cyber-physical systems (as opposed
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/spm/homepage/ Required Skills & Experience At the time of appointment holding a PhD with excellent results in disciplines like Aerospace Engineering, Mechanical Engineering or a comparable field
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will be the selection of suitable materials for the individual system components and their system integration. Applicant’s profile The candidate should ideally hold a PhD degree in applied physics
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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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qualifications and requirements university degree (Diploma/Master) in electrical or electronic engineering, telecommunications engineering, computer science, physics, mathematics, or equivalent strong programming
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consortium), where we build a FAIR data infrastructure for condensed matter physics and chemical physics of solid bodies, useable by materials science groups in Germany. As postdoctoral researcher, you will
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of Applied Sciences (HSWT), Am Hofgarten 4, 85354 Freising for questions regarding the application process or recruitment: E-Mail: [email protected] for technical questions: Prof. Dr. Hubert Röder