Postdoctoral Researcher in Machine Learning for Fatigue Fracture prediction with commitment for the submission of a proposal in the framework of the MSCA Global Postdoctoral Fellowship 2022
Structural Integrity and MEchanical Design (SIMED) group is seeking a 1-year full-time Postdoctoral Researcher in Machine Learning applied to fracture mechanics. The successful applicant will work at the Polytechnic Engineering and Architecture Department (DPIA) of the University of Udine, under Dr Enrico Salvati’s supervision.
The project focuses, but not limited to, on feasibility study and application of Machine Learning methods to applied and numerical fatigue fracture mechanics problems.
