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for resilient high-mix low-volume manufacturing. The aim of this PhD project is to enable fast setup of robot manipulators to complete advanced manufacturing tasks by the use of digital models. This should be
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techniques. Experience with data-driven user modeling and AI-driven personalization (e.g., recommender systems, user profiling, or adaptive user interfaces) is highly desirable. Knowledge of or a passion for
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involving modelling, estimation, and control of advanced robot systems. The group is involved in a variety of national and European projects and features a strong network of academic and industrial partners
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spanning a wide range of fields including applied cyber-physical systems, advanced mechanical systems, modelling and mechatronic prototyping. Your profile To complement our team, we are looking for one
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. The successful candidate will work on developing new theoretical models and computational methods to investigate the fundamental limits of polariton-assisted inelastic electron tunneling in tunnel junctions made
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learning applied to operations and supply chain management Data-driven demand forecasting Inventory management Time-series modelling Required skills Fluency in either Python, R, or the like Should be able
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and established companies in robotics. We specialize in robot solutions involving modelling, estimation, and control of advanced robot systems. In addition, the candidate will be integrated into CAPeX
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Training: Conduct Silvaco TCAD simulations (fabrication processes, device modeling, and circuit-level simulations) . Experimental Work: Participate in cleanroom processes, device fabrication, and electrical