11 postdoc-computational-fluid-dynamics-2017 PhD positions at Eindhoven University of Technology (TU/e); Eindhoven in Netherlands
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an integral part of the prestigious NWO AiNED AI-on-ONN project on harnessing the unique capabilities of ONNs for sense and compute. ONNs, inspired by the dynamics of coupled oscillators, exhibit inherent
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We are seeking a highly motivated PhD candidate to join our research team in the field of mixed-signal IC design, focusing on the implementation of physics-based computing paradigm. The ideal
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Are you eager to contribute to shaping the future of additive manufacturing with clay? Are you interested in how 3D clay printing and computational design can be used to develop environmentally
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: reduced-order models (ROMs) and input-output models derived from high-fidelity Computational Fluid Dynamics (CFD) models; data-based models determined from training/calibration data by system/parameter
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, and sustainable components. However, ensuring consistent quality in AM-based remanufacturing remains a critical challenge. The process involves complex, nonlinear, and partially observable dynamics, and
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, interdisciplinary TACIT project (Tailored AI-Driven Co-Creation for Inclusive Digital Transformation). This 5-year research position will contribute to cutting-edge work at the intersection of Human-Computer
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metrology, we are dealing with layered media that potentially contain many scattering objects spread out over multiple layers. In the computational Electromagnetics research group (the EMPMC lab), we have
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period of 4 years at the Eindhoven University of Technology, Department of Mathematics and Computer Science. The student’s working locations will be at Eindhoven University where the PhD candidate will be
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Are you passionate about developing intelligent algorithms that can support repair and remanufacturing decisions for sustainable manufacturing? As a PhD researcher, you will create innovative machine learning solutions to optimize the component lifecycle directly contributing to a more circular...
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, potentially complemented by techniques from artificial intelligence. This project is part of the national Add-reAM program, which brings together academic, industrial, and other partners to explore the role