Postdoctoral Scientist for AI-driven Modeling

Vor 4 Tagen


Zürich, Zürich, Schweiz EURAXESS Czech Republic Vollzeit
About the Project

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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