AI Internship: Intelligent Reticle Health Monitoring Using Reduced Measurement Data
Hybrid
Core
Develop and evaluate machine learning approaches to monitor reticle health using reduced measurement datasets in semiconductor manufacturing.
Role type
Master's thesis or non-thesis internship (AI/ML)
Builds
AI models for reticle health monitoring
Domain
Semiconductor manufacturing / Lithography
Deliverable
production ML models
Required skills
Machine learning, Python, data analysis, model development, statistical analysis
Preferred skills
MATLAB, numerical datasets, spatial datasets
Responsibilities
Analyze historical reticle measurement datasets, create training/validation/test datasets, develop and train AI models, compare model performance with engineering methods, investigate minimum data requirements, evaluate model robustness and generalization, present findings.
Seniority
Internship (Master's level)