Postdoctoral Researcher in Manufacturing Process Optimization with AI
Vor 5 Tagen
This 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. Proficiency in Python programming and experience with computer graphics concepts are also required.
The postdoctoral researcher will 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 team works at the intersection of AI and mechanical engineering, bridging academia and industry. The project offers opportunities for high-impact publications and professional development.
- Predict optimal process parameters with high accuracy
- Accurately simulate forging processes in milliseconds instead of hours
- Reduce dependency on expensive simulations based on SPH or FEM
Manufacturing process optimization is a critical challenge in the modern industrial landscape. Current methodologies rely heavily on computationally expensive simulations, leading to prolonged development cycles and increased costs.
This project aims 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, predict optimal process parameters, and reduce dependency on expensive simulations.
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Zürich, Zürich, Schweiz EURAXESS Czech Republic VollzeitAbout the JobWe 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 at the intersection of AI...
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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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