Bayesian Methods Intern: System-Level Qualification

ASML; Veldhoven; Hybrid; EUR 8,900 - 17,000; Full time

Job summary

ASML in Veldhoven invites a master’s student to join a data analytics internship focused on Bayesian methods for system-level overlay qualification. You will analyze datasets, build quantitative models, and translate findings into practical recommendations for engineering decisions.

The six-month, full-time internship offers hands-on experience in an international environment, with hybrid work and collaboration across experienced teams.

Qualifications

• Pursuing a master’s degree in a quantitative field (Statistics, Applied Math, Econometrics, Data Science).
• Experience with MATLAB and applying statistical modelling.
• Strong analytical and problem-solving skills.
• Fluent English communication.
• Willingness to relocate to the Netherlands.

Responsibilities

• Develop and validate a Bayesian proof-of-concept for system-level overlay qualification.
• Analyze complex datasets and evaluate model performance.
• Translate results into practical guidance for engineering decisions.
• Document methodology and provide future-use recommendations.
• Deliver validated tooling that works across multiple datasets, using MATLAB or bindings.

Skills

MATLAB experience

Analytical thinking

Problem-solving

English communication

Collaborative mindset

Education

Master's degree in Statistics / Applied Mathematics / Econometrics / Data Science

Tools

MATLAB

Job description

ASML in Veldhoven invites a master’s student to join a data analytics internship focused on Bayesian methods for system-level overlay qualification. You will analyze datasets, build quantitative models, and translate findings into practical recommendations for engineering decisions.

The six-month, full-time internship offers hands-on experience in an international environment, with hybrid work and collaboration across experienced teams.