PhD student in Autonomous Velocimetry for Fluid Mechanics

vor 11 Stunden

Zürich, Schweiz Empa Entrepreneur Fellowship Vollzeit

PhD student in Autonomous Velocimetry for Fluid Mechanics Join to apply for the PhD student in Autonomous Velocimetry for Fluid Mechanics role at Empa. 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 Dübendorf is offering a position for two motivated doctoral students. Your tasks 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 algorithms for a multi‑agent robotics system that autonomously optimises 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 optimisation, enabling autonomous measurement campaigns and real‑time data assimilation. Your profile We are looking for 2 highly motivated PhD students with a strong analytical background and an MSc degree in Mechanical or Aerospace Engineering, Physics, Computational Science, or a related discipline. 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. Our offer We offer a stimulating, multidisciplinary research environment within the ETH Domain, with close collaboration between Empa, ETH Zürich, and other international research partners. Empa provides state‑of‑the‑art experimental and computational infrastructure and internationally competitive employment conditions, and strong support for personal and professional development. The PhD student will be enrolled in the ETH Zürich / University of Zürich doctoral programme, depending on academic affiliation. The position is available immediately or upon agreement. For further information about the position, please contact: Dr. Claudio Mucignat, Scientist and Principal Investigator, or Dr. Ivan Lunati, Head of Laboratory for Computational Engineering. We live a culture of inclusion and respect. We welcome all people who are interested in innovative, sustainable and meaningful activities – that's what counts. We look forward to receiving your complete online application, including a letter of motivation, CV, certificates, diplomas, and contact details of two reference persons. Please submit these exclusively via our job portal. Applications by e‑mail and by post will not be considered. #J-18808-Ljbffr

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