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.
The project focuses, but not limited to, on the development of computational models for structural problems. In particular, the candidate will develop new algorithms and codes to predict crack nucleation and propagation in homogeneous and heterogeneous materials in the context of quasi-static and fatigue loading conditions, using several numerical approaches such as Phase-Field, XFEM, CZM. Fatigue modelling and the effects of residual stress will be also covered. Machine learning approaches may also be pursued.
Aimed at verifying the developed numerical models, the holder of the PhD studentship will have the opportunity to be involved in the design and execution of experimental tests at the laboratories of DPIA or at partner universities across Italy and Europe. The appointee will be able to work closely with undergraduate students.
The candidates should possess a master’s degree in a relevant field with knowledge in fracture mechanics, FEM modelling, computational tools, and – most importantly – willingness to learn! Strong interpersonal skills are required alongside the ability to work on a collaborative project.
The application deadline is on 2nd September 2022. The PhD journey starts in early November 2022. As a part of the PhD programme, the successful candidate will spend at least 6 months in a university or research institute abroad to conduct his/her research; extra costs will be covered.
If you are interested, strongly motivated and you believe you are a good candidate, please apply here:
Details of this specific position are given in the full text of the call for applications, under:
TABLE 9 (PhD Programme INDUSTRIAL AND INFORMATION ENGINEERING)
Research Topic 1.1 – Structural failure modelling through advanced numerical methods.