PhD student in Autonomous Velocimetry for Fluid Mechanics
vor 1 Tag
Materials science and technology are our passion. With our cutting‑edge research, Empa's around 1,100 employees make essential contributions to the well‑being of society for a future worth living. Empa is a research institution of the ETH Domain. Optimizing vehicle aerodynamics to reduce transportation emissions, understanding airborne disease transmission, and predicting climate‑related transport phenomena all require precise knowledge of fluid flow dynamics. Advanced experimental methods such as Particle Image Velocimetry (PIV) and 3D Lagrangian Particle Tracking (LPT) provide crucial insights. In this project, you will contribute to the development of AI‑driven methodologies for experimental fluid mechanics, focusing on: Designing multi‑fidelity neural networks for adaptive flow reconstruction, enabling both real‑time coarse diagnostics and high‑fidelity offline velocity field estimation. Developing reinforcement learning (RL) algorithms for a multi‑agent robotics system that autonomously optimizes 3D velocimetry measurements by dynamically adjusting camera positions and optical parameters. Integrating the framework within a digital twin environment for pre‑training and simulation‑based optimization, enabling autonomous measurement campaigns and real‑time data assimilation. This research combines fluid mechanics, artificial intelligence, and robotics to establish the foundation for the next generation of autonomous experimental diagnostics in complex flow environments. Your profile Solid programming skills (Python, MATLAB, or C++). Knowledge of the OpenCV library. Strong interest in machine learning, reinforcement learning, and fluid dynamics. Ability to work independently and collaboratively in an interdisciplinary team. Excellent command of English, both written and spoken. Experience with experimental fluid mechanics and computer vision is an advantage. #J-18808-Ljbffr
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Dübendorf, Zürich, Schweiz EMPA VollzeitPhD student in Autonomous Velocimetry for Fluid Mechanics Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living. Empa is a research institution of the ETH Domain The Laboratory for Computational Engineering in...
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Dübendorf, Zürich, Schweiz Empa Vollzeit CHF 60'000 - CHF 80'000 pro JahrMaterials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living. Empa is a research institution of the ETH Domain.The Laboratory for Computational Engineering in Dübendorf is offering a position for two motivated doctoral...
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Dübendorf, Schweiz Empa VollzeitA leading materials science research institute in Dübendorf, Switzerland is seeking a candidate to contribute to AI-driven methodologies in experimental fluid mechanics. Responsibilities include designing neural networks for flow reconstruction, developing reinforcement learning algorithms for robotic systems, and integrating frameworks for real-time data...
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