Digital Twin PhD: Predict Fracture Variability in Steels

Mines Paris - PSL is offering a Ph

D position focused on Digital Twin methodology for predicting fracture variability in mesosegregated forged steels. The successful candidate will work on developing numerical simulations, generative AI techniques for microstructures, and advanced mechanical simulations. Ideal applicants should have a solid background in computational mechanics, proficiency in Python or C++, and an interest in applying these skills to industrial challenges. Interested individuals should apply via the provided email and include necessary documents.

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