Graduation assignment: Finding patterns in scanner data for wafer output optimization

Graduation Assignment: Machine Learning for ASML Scanner Optimization

Are you curious about the High Performance Cluster and KNIME software? Join ASML to build machine learning models in collaboration with experienced employees.

Mission

ASML designs, develops and integrates advanced photolithography systems for semiconductor manufacturers worldwide. These machines generate large amounts of data whose value can only be realized through data science.

Job Description

You will learn KNIME software (Analytics Platform, Server, and web portal) to apply machine learning algorithms to scanner log data. This practical assignment demonstrates the benefits of machine learning for scanner output optimization using real customer support data.

Assignment Includes:

1. Getting familiar with ASML scanner productivity logs
2. Combining various data sources from multiple machines and applying machine learning and pattern recognition techniques
3. Searching for relationships and patterns in log data that can improve scanner output
4. Writing a thesis

Requirements

• Master's student background in Computer Science, Mathematics, or Data Science
• Background with big data problems
• Interest in practical applications
• Basic programming skills
• Motivated to deliver high-quality solutions

Offer

• Monthly internship allowance of €500 (maximum)
• Possible housing or travel expense reimbursement
• Expert practical guidance
• Dynamic, innovative team environment
• 5 days per week for minimum 6 months
• Must be enrolled at an educational institution during the entire internship period