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Area Engineering

New strategies for innovative uses of One-Shot Learning algorithms for industrial processes

Reference persons FRANCESCA MARIA CURA', RAFFAELLA SESANA

External reference persons Luca SANTORO

Description The thesis activity is born from the collaboration on various projects with large corporate companies in the transport and aerospace sectors.
The thesis involves experimental and modeling activities in order to use innovative techniques for monitoring processes of industrial interest (e.g. welding, Additive manufacturing, non-destructive testing...).
The work will be carried out in a team, therefore it is necessary to be available to carry out the experimental tests in person (assisted in any case by competent personnel) and to participate in frequent update meetings.
The thesis also includes meetings with partner companies for project progress.
It is possible to provide reimbursement of expenses and the possibility of collaboration after the conclusion of the thesis

Required skills Programming basics


Deadline 19/02/2025      PROPONI LA TUA CANDIDATURA