Hybrid Internship: Particle-Surface Modeling (Physics/ME)

ASML; Veldhoven; Hybrid; EUR 12,000 - 20,000; Full time

Job summary

ASML in Veldhoven, Netherlands, offers a master's internship focused on validating particle bouncing models within the Wafer Defectivity team. You will analyze experimental data, compare with model predictions, and help improve predictive capabilities for particle-surface interactions.

The internship runs for a minimum of 4 months, at least 4 days per week (3 on-site), starting March 2027. Hybrid work arrangement and collaboration with stakeholders are expected.

Qualifications

• Pursuing a master's degree in a technical field.
• Experience with Python for data processing, analysis and visualization.
• Analytical mindset with ability to translate results into physical understanding.
• Willingness to collaborate across disciplines and teams.
• Must be enrolled at an educational institute for the entire duration.

Responsibilities

• Process and analyze large experimental datasets related to particle-surface interactions.
• Identify bouncing characteristics and physical insights from measurement data.
• Compare experimental results with predictions from existing particle-bouncing models.
• Investigate differences between measurements and simulations and propose model improvements.
• Support experimental activities to validate models and explore interaction mechanisms.
• Summarize findings in clear reports and presentations.
• Collaborate with stakeholders to support technical discussions and decision-making.

Skills

Python data processing

Analytical thinking

English communication

Team collaboration

Education

Master’s degree in Chemical Engineering

Master’s degree in Mechanical Engineering

Master’s degree in Physics

Master’s degree in Applied Physics

Job description

ASML in Veldhoven, Netherlands, offers a master's internship focused on validating particle bouncing models within the Wafer Defectivity team. You will analyze experimental data, compare with model predictions, and help improve predictive capabilities for particle-surface interactions.

The internship runs for a minimum of 4 months, at least 4 days per week (3 on-site), starting March 2027. Hybrid work arrangement and collaboration with stakeholders are expected.