AI Expert in Surrogate Modeling for Industry

About the ProjectManufacturing 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...

Job 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...

Job 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....

Research 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...

Key ResponsibilitiesThe postdoctoral researcher will be responsible for:Developing and optimizing AI-based surrogate models for manufacturing processesImplementing efficient parametrization methods for geometries and workpiece propertiesDesigning and implementing data augmentation techniques to enhance model performanceThe ideal candidate will have a strong...

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About 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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