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., forming tools) and nonlinear phenomena like frictional contact (e.g., tool-workpiece). The Challenge: Designing and training ANNs to enhance FEM requires a deep understanding of both machine learning and
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, Research and Technology (ExPeRT) team. This multidisciplinary, innovation-driven team composed by researchers, graduate and undergraduate students is based at the ESA European Centre for Space Applications
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study/optimization, numerical simulation, conceptual design, basic engineering and construction of the reactor. Your tasks Conduct experiments in the lab-scale including catalyst synthesis
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for educational and research related content; Creating visual content by designing images, infographics and (short) videos; Producing reels, videos, podcasts and other multimedia content to enhance engagement with
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applications that can benefit from acoustic sensing, design novel use case-specific solutions with Machine Learning and build a working proof-of-concept system to be tested in controlled real-world experiments
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that operate in the real world with various other PhDs and engineers. The OpenBots laboratory aims to develop a common sense capability for robots making them able to understand their surroundings and plan
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Join the frontier of innovation in 6G: the future of mobile network technology! TU Delft’s Microwave Sensing, Signals and Systems (MS3) group and TNO’s (Dutch Organization for Applied Scientific
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that operate in the real world with various other PhDs and engineers. The OpenBots laboratory aims to develop a common sense capability for robots making them able to understand their surroundings and plan
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Design human-centred AI for effective information sharing in crisis management A major challenge in crises is the combination of complexity, time pressure and moral decisions. AI has the potential
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partners. From there, you will design and implement an agent-based model that will integrate human decision-makers from different organisations (e.g., police, municipality) and artificial agents that support