Physics | Mechanical Engineering internship: particle bouncing model validation
ASML is hiring a Physics | Mechanical Engineering internship: particle bouncing model validation. Level rates it ; you can apply on ASML.
Level's read on this job
- Level rates this role Uses AI ●●○○: an ordinary role that requires AI tools.
- Level classes it as an internship.
- ASML has 748 other open roles on Level.
- Posted in the last few days.
AI in this role
Introduction
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.
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 attach your cover letter with a clear motivation on why you are interested in this internship assignment in particular;
- 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.
Inclusion and diversity
ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.
Do you want to know more about the internship allowance, visa support and applying for an internship at ASML? Read this page.
How we rate this
Physics | Mechanical Engineering internship: particle bouncing model validation at ASML rates 43 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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