Postdoctoral Scientist for AI-driven Modeling
Vor 4 Tagen
Manufacturing process optimization is a critical challenge in the modern industrial landscape, particularly in high-precision industries such as aerospace, automotive, and energy. Current methodologies rely heavily on computationally expensive simulations based on Smoothed Particle Hydrodynamics (SPH) or Finite Element Method (FEM), which require significant computational resources and expert knowledge.
This project aims to develop a novel AI-driven solution to revolutionize forging process optimization by leveraging surrogate modeling techniques. The objective is to create an AI-based tool that can accurately simulate forging processes in milliseconds instead of hours, predict optimal process parameters with high accuracy, and reduce dependency on expensive simulations based on SPH or FEM.
The successful candidate will be responsible for developing and optimizing AI-based surrogate models for manufacturing processes, designing and implementing data augmentation techniques to enhance model performance, and maintaining thorough documentation of model development and project progress.
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Zürich, Zürich, Schweiz EURAXESS Czech Republic VollzeitJob OverviewThis is a 2-year project-based contract starting in Spring/Summer 2025. The postdoctoral researcher will work in the Advanced Manufacturing Laboratory within the Department of Mechanical and Process Engineering at ETH Zurich.The team is highly motivated and collaborative, working at the intersection of AI and mechanical engineering. The project...
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Zürich, Zürich, Schweiz EURAXESS Czech Republic VollzeitJob DescriptionThis is a postdoctoral research position in the Advanced Manufacturing Laboratory at ETH Zurich. The project aims to develop an AI-driven solution for forging process optimization using surrogate modeling techniques.The ideal candidate will have a strong background in AI, machine learning, and deep learning frameworks such as PyTorch....
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Zürich, Zürich, Schweiz EURAXESS Czech Republic VollzeitResearch FocusThe project focuses on developing an AI-driven solution for forging process optimization using surrogate modeling techniques.The ideal candidate will have a strong background in AI, machine learning, and deep learning frameworks. Proficiency in Python programming and experience with computer graphics concepts are also required.The postdoctoral...
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Zürich, Zürich, Schweiz EURAXESS Czech Republic VollzeitAbout the RoleWe are seeking a talented postdoctoral researcher to join our team and contribute to the development of innovative AI-based surrogate models that accelerate forging process simulations, optimize manufacturing parameters, and reduce dependency on computationally expensive simulations.The successful candidate will work on developing and...
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