| KEYWORD |
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