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Physics | Materials Science internship: ai-driven experimental insights
internship · Artificial Intelligence
Introduction
Within the Materials and Chemistry Group at ASML Research in Veldhoven, you will contribute to advancing knowledge from complex experimental data. Our team uses a wide range of experimental and analytical methods to understand physical phenomena that support future technology development. A key challenge is connecting results from different test environments and understanding how they relate to real-world operating conditions. In this internship, you will explore how Artificial Intelligence and Machine Learning can help bridge these gaps and support data-driven innovation. This Physics | Materials Science internship offers the opportunity to work on meaningful research challenges in a multidisciplinary environment.
Your assignment
As part of this internship, you will investigate how Artificial Intelligence and Machine Learning methods can improve the interpretation of experimental and analytical datasets. You will explore relationships within complex data and evaluate how observations can be translated between different environments and real-world conditions. Working closely with researchers and domain experts, you will combine data-driven approaches with physical understanding to generate valuable insights. Your main responsibilities will be:
Explore experimental datasets and understand challenges related to comparing different environments
Evaluate Artificial Intelligence and Machine Learning methods for heterogeneous data analysis
Develop and assess data-driven models that connect observations across experimental conditions
Analyze results and identify meaningful patterns and relationships within complex datasets
Collaborate with researchers from different technical disciplines to interpret findings
Assess the potential impact of AI-driven knowledge extraction for technology development
Present conclusions and recommendations through reports and presentations
This is a master's (thesis) internship for minimum 5 months, minimum 4 days per week (hybrid). The starting date of this internship is projected for October 2026.
Your profile
To be suitable for the internship, you:
Are pursuing a master's degree in Physics, Materials Science, Applied Physics, Engineering, Data Science, or a related technical field
Have a strong interest in Artificial Intelligence, Machine Learning, and data-driven modeling
Have experience with data analysis and programming, preferably using Python or similar programming languages
Are analytical, proactive, and comfortable working independently while collaborating with others
Have strong English communication skills, both written and spoken
Other requirements you need to meet
You are enrolled at an educational institute for the entire duration of the internship;
You need to be located in the Netherlands to be able to perform your internship. In case you ‘re 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).
This position requires access to controlled technology, as defined in the United States Export Administration Regulations (15 C.F.R. § 730, et seq.). Qualified candidates must be legally authorized to access such controlled technology prior to beginning work. Business demands may require ASML to proceed with candidates who are immediately eligible to access controlled technology.
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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