Data Science | Physics Internship: Machine Learning in EUV Imaging
ASML
Data Science | Physics Internship: Machine Learning in EUV Imaging
This internship focuses on using machine learning to predict imaging performance in EUV lithography systems. The intern will analyze large datasets, develop predictive models, and collaborate with engineers to reduce physical testing. It is a 5-6 month, hybrid position based in Veldhoven, Netherlands.
HybridFull-timeInternshipPythonMachine Learning
Data Science | Physics Internship: Machine Learning in EUV Imaging
This internship focuses on using machine learning to predict imaging performance in EUV lithography systems. The intern will analyze large datasets, develop predictive models, and collaborate with engineers to reduce physical testing. It is a 5-6 month, hybrid position based in Veldhoven, Netherlands.
HybridFull-timeInternshipPython
Salary
Not specified
Core Qualifications
Technical (Must-have)
PythonMachine Learning
Preferred Qualifications
Technical (Nice-to-have)
Image-based Machine Learning
Key Responsibilities
- Analyze large datasets from system sensors and experimental imaging measurements.
- Develop machine learning models to predict imaging performance on the wafer.
- Investigate how well models generalize across different features and system conditions.
- Compare model predictions with existing measurement results and identify limitations.
- Collaborate closely with engineers to connect physical imaging concepts with data-driven models.
- Explore opportunities to reduce or replace physical tests using model predictions.
- Document and present results clearly to support further development and decision-making.
InternshipMachine LearningEUV ImagingData SciencePhysicsASMLLithographyPythonSemiconductor