| KEYWORD |
Multi-fidelity modeling for design analysis and optimization: aerospace engineering applications
keywords AEROSPACE DESIGN, MULTI-FIDELITY ANALYSIS, SURROGATE MODELING
Reference persons PAOLO MAGGIORE, LAURA MAININI
Thesis type NUMERICAL AND DESIGN ORIENTED
Description Students will be developing modeling strategies to combine and leverage information provided by different physical models; particular attention will be dedicated to numerical and experimental models representing physical systems at different level of fidelity, accuracy, and complexity. 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 and aerospace applications are welcome.
Deadline 31/12/2018
PROPONI LA TUA CANDIDATURA