| KEYWORD |
Area Engineering
Machine Learning models for semiconductor production data analysis
keywords MACHINE LEARNING, SEMICONDUCTOR PRODUCTION
Reference persons LUCIANO LAVAGNO
External reference persons Marcello Raimondi, STM
Research Groups Microelectronics
Thesis type RICERCA
Description The thesis is developed in collaboration with STMicroelectronics. The aim of the thesis will be to study the data collected during the production phase and understand which parameters are useful to predict variabilities related to semiconductor process and environmental effects.
Required skills The student should have knowledge of:
- Basic semiconductor physics;
- Semiconductor production process;
- Python;
- Machine Learning;
- Deep Learning;
Deadline 21/11/2025
PROPONI LA TUA CANDIDATURA