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Postdoc in structural integrity

A POSTDOC OPPORTUNITY is available in my research group to work on structural integrity assessment using physics-guided machine learning and fracture-based computational methods. The position is fixed-term for 1 year, with commitment for the submission of a proposal in the framework of the MSCA Global Postdoctoral Fellowship 2023

Only nationals or long-term residents of the EU Member States or Horizon Europe Associated Countries can apply

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Defect-based Physics-Informed Machine Learning Framework for Fatigue Prediction

I would like to draw your attention to our recently proposed predictive method based on a semi-empirical model (LEFM) and Neural Network, exploiting the Physics-informed Machine Learning concept. We show how the accuracy of state-of-the-art fatigue predictive models, based on defects present in materials, can be significantly boosted by accounting for additional morphological features via Physics-Informed Machine Learning.

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PhD fully-funded position in Computational Solid Mechanics - emphasis on Fracture Mechanics (call deadline: end of July 2022) – University of Udine (Italy)

 

Structural Integrity and MEchanical Design (SIMED) group is seeking a PhD candidate to conduct research in computational solid mechanics, mainly applied to structural problems. The successful applicant will work at the Polytechnic Engineering and Architecture Department (DPIA) of the University of Udine, under Dr Enrico Salvati’s supervision.

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Postdoctoral Research Fellowship at the University of Udine in Phase-Field modelling of fracture

I am seeking a full-time Postdoctoral Research Fellow in Phase-Field modelling of fracture to join the Design of Machines group at the Polytechnic Engineering and Architecture Department (DPIA) of the University of Udine. The position is fixed-term for 1 year with funding provided by the European Social Fund (ESF). 

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