Internship - Machine Learning and image-based EUV system setup
On-siteNo visa sponsorship
Core
Develop image-based Key Performance Indicators (KPIs) using machine learning and image analysis to assess laser-to-Sn material alignment in EUV light source experiments.
Role type
Machine Learning Engineer (Image Analysis)
Builds
Image-based KPIs for EUV system alignment validation
Domain
Semiconductor manufacturing / EUV lithography / Optics
Deliverable
production ML models
Required skills
Python, ML/AI-based image analysis, clustering, dimensionality reduction, supervised learning, data analysis
Preferred skills
None stated
Technologies
Python
Responsibilities
Collect and organize high-speed image data, extract image features, develop image-based KPIs, validate KPIs against performance measurements
Seniority
Intern