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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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: practice-oriented research for mechanical engineering, the automotive industry, and related sectors. We develop intelligent products, production systems, services, and software applications. In our Corporate
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, high performance computing and artificial intelligence. The institute is supported by numerous national and international third-party funding organisations. He/she manages the press and public relations
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system development and software development for four scientific laboratories Measuring devices and data analysis • InSAR (Interferometry of Synthetic Aperture Radar) computing system • IR mass spectrometer
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limited to, artificial intelligence-enhanced and quantum computing-based materials design, as well as nonequilibrium phenomena. The new director should strategically spearhead the field of materials
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is using state of the art machine learning tools to extract interpretable latent dynamics. We seek a highly motivated PhD student to develop a predictive computational model using recurrent neural
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, we are further developing the resistance spot welding (RSW) process with an industrial focus. We are developing new methods and investigating the application potential for artificial intelligence
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degree or equivalent scientific qualification, as well as pedagogical aptitude, are prerequisites. Substantial research experience abroad and contributions to study program development are expected
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for industry. To this end, the latest findings from the fields of artificial intelligence, machine learning and cloud-based methods are combined with proven expert knowledge to answer current questions in robot
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wide range of markets such as automotive, industrial and aerospace. The rapidly growing demand for computing power especially in relation to quantum computing (QC), artificial intelligence (AI), and