Internship - Machine Learning and image-based EUV system setup

ASML • San Diego, CA

6d • $17 - $53 • Onsite

About The Position

ASML EUV Light Sources uses high-power lasers interacting with tin material to generate the plasma that produces EUV light. Correct alignment between the lasers and tin material is essential for efficient, stable operation. High-speed camera images captured during EUV formation contain spatial information about this interaction.

The intern will use machine learning and image-analysis techniques on high-speed images from controlled experiments to identify image characteristics that indicate good laser-to-tin alignment and translate them into measurable key performance indicators (KPIs). The project includes organizing image data, extracting features using conventional image processing and/or ML/AI methods, developing image-based KPIs, and validating them against performance measurements and across operating conditions. Success means producing KPIs with clear, repeatable relationships to alignment quality and improved observability compared with the current methodology.

This is an on-site position in San Diego, California. The intern must be willing to work in a clean-room environment while wearing required protective garments and equipment for the duration of a shift. Candidates must be authorized to work in the United States without employer sponsorship and legally authorized to access any controlled technology required for the position. Offers are subject to a background check and any other required tests.

Requirements

• Must be pursuing a bachelor's or master's degree in computer science, control systems, physics, applied mathematics, or a related technical field.
• Knowledge of or experience using Python for data analysis.
• Familiarity with ML/AI-based image-analysis methods.
• Ability to analyze technical data and communicate findings and recommendations.
• Analytical and problem-solving skills.
• Ability to work with image datasets and corresponding metadata.
• Ability to apply clustering, dimensionality reduction, or supervised-learning methods.
• Ability to work independently and collaborate with technical stakeholders.
• Clear written and verbal communication skills.
• Attention to detail and accuracy.
• Ability to document analysis in scripts, notebooks, and technical reports.
• Ability to learn new technical concepts and methods.
• Result-oriented approach.
• Proficient use of Microsoft Office suite programs.
• Must be willing to work on-site in San Diego and in a clean-room environment.
• Must be authorized to work in the United States without employer sponsorship.
• Must be legally authorized to access controlled technology required for the position.

Responsibilities

• Collect and organize high-speed image data from controlled experiments.
• Extract relevant image features using conventional image-processing techniques and/or machine-learning methods.
• Develop one or more image-based KPIs that summarize relevant image information about laser-to-tin alignment.
• Validate proposed KPIs against performance measurements and assess their robustness across operating conditions.
• Analyze technical data and communicate findings and recommendations.
• Document analysis in scripts, notebooks, and technical reports.

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed