| KEYWORD |
Area Engineering
Dynamic data driven methods for real-time health monitoring, diagnostics and prognostics: applications to aerospace systems and structures
keywords AEROSPACE VEHICLES, DATA TO DECISION, DYNAMIC DATA DRIVEN METHODS, INFORMATION FUSION
Reference persons LAURA MAININI
Thesis type NUMERICAL SIMULATION
Description Students will be developing models and methods to support health monitoring, diagnostics and prognostics for aerospace systems and vehicles. The research activities can be tailored on student’s interests upon discussion with the supervisors/PIs.
Required skills Passion, curiosity, responsibility and proactivity are key assets. Familiarity with and/or interest in numerical methods, data assimilation, machine learning are welcome
Deadline 05/03/2018
PROPONI LA TUA CANDIDATURA