Physics | Mathematics internship: Data-Driven Modeling for Advanced Alignment Strategies

• Build predictive models using physics‑informed and data‑driven methods.

• Design performance indicators that show when advanced alignment adds value.

• Run simulations to test hypotheses and compare model outcomes.

• Validate results using available data and document your findings.

• Translate insights into clear recommendations for internal stakeholders.

• Investigate links between predictive indicators, stability factors, and training needs.
   

This is a master’s (thesis) internship for minimum 6 months, minimum 3 days per week (2 days on‑site). The start date of this internship is as soon as possible.
 

Your profile

To be suitable for the internship, you:

• Are enrolled in a master’s degree in physics, mathematics, data science, or a related field.

• Have experience with MATLAB and general data analysis techniques.

• Bring knowledge of semiconductor processes or numerical optimization (a plus, not required).

• Are analytical, collaborative, and self-propelling.

• Communicate clearly and enjoy translating technical findings into actionable insights.
   

Other requirements you need to meet:

• You are enrolled at an educational institute for the entire duration of the internship;

• Attach your cover letter with a clear motivation 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 CV/motivation letter includes the willingness to relocate.

• 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).

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.

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