Physics | Mechanical Engineering internship: particle bouncing model validation

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

Introduction

Physics | Mechanical Engineering internship: particle bouncing model validation

Within the Wafer Defectivity team at ASML in Veldhoven, you will help improve the reliability of advanced semiconductor manufacturing systems. Dust particles can land on silicon wafers and affect the performance of computer chips. The team investigates where particles originate and develops long-term solutions to reduce particle contamination. In this internship, you will contribute to a better understanding of particle-surface interactions and help improve prediction models for particle transport and trapping.

• Location: Veldhoven, Netherlands
• Team: Interns and Trainees
• Work experience: 0-1 year
• Educational background: Physics, Chemical Engineering, Mechanical Engineering
• Travel: No
• Workplace type: Hybrid
• Full time

Your assignment

In this internship, you will support research on particle bouncing behavior to improve the understanding of particle-surface interactions. You will work with experimental measurement data and use your findings to validate and enhance existing physical models. The results of your work will contribute to more accurate predictions and support product improvements. Your main responsibilities will be:

• Process and analyze large experimental datasets related to particle-surface interactions.
• Identify particle-bouncing characteristics, trends, and relevant 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.

This is a master's internship for minimum 4 months, minimum 4 days per week (3 days on-site). The start date of this internship is as of March 2027.

Your profile

To be suitable for the internship, you:

• Are pursuing a master’s degree in chemical engineering, mechanical engineering, physics, applied physics, or a related technical field.
• Have experience with Python for data processing, analysis, and visualization.
• Are analytical and enjoy translating experimental results into physical understanding.
• Are proactive and comfortable combining experimental work with modeling and simulation activities.
• Have strong communication skills in English and enjoy collaborating with diverse stakeholders.

Other requirements you need to meet:

• You are enrolled at an educational institute for the entire duration of the internship, and you are at least 18 years old at the start of the internship;
• If you are a non-EU citizen, studying in the Netherlands, your university is willing to sign the documents relevant for doing an internship (i.e., Nuffic agreement);
• You need to be located in the Netherlands to be perform your internship. In case you are currently living/studying outside of the Netherlands, your application shows the willingness to relocate.