| KEYWORD |
Microelectronics
Machine Learning models for semiconductor production data analysis
Parole chiave MACHINE LEARNING, SEMICONDUCTOR PRODUCTION
Riferimenti LUCIANO LAVAGNO
Riferimenti esterni Marcello Raimondi, STM
Gruppi di ricerca Microelectronics
Tipo tesi RICERCA
Descrizione 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.
Conoscenze richieste The student should have knowledge of:
- Basic semiconductor physics;
- Semiconductor production process;
- Python;
- Machine Learning;
- Deep Learning;
Scadenza validita proposta 21/11/2024
PROPONI LA TUA CANDIDATURA