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Field
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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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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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- looking. Sensor technology plays a key role in this transformation, enabling real-time monitoring, automation, and intelligent decision-making. Despite these needs, many water treatment processes still rely
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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
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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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or equivalent scientific qualification, as well as pedagogical aptitude, are prerequisites. Substantial research experience abroad and contributions to study program development are expected. Candidates should
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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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linking the farm-level bio-economic model MODAM with macroeconomic Computable General Equilibrium (CGE) modeling approaches. We are offering a temporary part-time position (65% of regular weekly working
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development processes, the semantic mapping of product information, and the integration of MBSE into end-to-end product lifecycle management (PLM). The Intelligent Networking department addresses the design of