Introduction
Join ASMLs Applied Data Science team where we develop AI and machine learning solutions that improve the performance and reliability of advanced lithography systems. Our work combines technical expertise with domain knowledge to create data-driven algorithms for calibration diagnostics and predictive maintenance. This internship will contribute to exploring cutting-edge transformer models for in-context learning helping optimize control-loop input estimation in ASML machines. If you are passionate about AI and want to apply your skills to real-world challenges this is your opportunity.
Your assignment
You will investigate how pretrained transformer models can perform in-context learning (ICL) for interpolation and control-loop input estimation in lithography systems. The goal is to evaluate and fine-tune models to improve predictive accuracy and decision-making in production processes.
Your main responsibilities will be:
Analyze transformer architectures and their ICL capabilities for ASML-specific processes.
Fine-tune models on diverse datasets to enhance domain-specific performance.
Integrate multiple data sources to build robust predictive models.
Validate results with domain experts and document findings.
Deliver well-structured maintainable code for future use.
Summarize insights and propose improvements for model deployment.
This is a masters thesis internship for a minimum of 6 months 5 days per week (3 days on-site). The start date of this internship is as of February 2026.
Your profile
To be suitable for the internship you:
Are enrolled in a masters degree in computer science data science applied mathematics or applied statistics.
Have strong knowledge of deep learning frameworks (e.g. PyTorch) and Python programming.
Understand natural language processing and have experience with related projects.
Are analytical proactive and able to work independently.
Communicate effectively in English (both spoken and written) and are able to explain technical data to the team.
Other requirements you need to meet:
You are enrolled at an educational institutefor 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 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.
Need to know more about applying for a job at ASML Read our frequently asked questions.
Required Experience:
Intern
IntroductionJoin ASMLs Applied Data Science team where we develop AI and machine learning solutions that improve the performance and reliability of advanced lithography systems. Our work combines technical expertise with domain knowledge to create data-driven algorithms for calibration diagnostics a...
Introduction
Join ASMLs Applied Data Science team where we develop AI and machine learning solutions that improve the performance and reliability of advanced lithography systems. Our work combines technical expertise with domain knowledge to create data-driven algorithms for calibration diagnostics and predictive maintenance. This internship will contribute to exploring cutting-edge transformer models for in-context learning helping optimize control-loop input estimation in ASML machines. If you are passionate about AI and want to apply your skills to real-world challenges this is your opportunity.
Your assignment
You will investigate how pretrained transformer models can perform in-context learning (ICL) for interpolation and control-loop input estimation in lithography systems. The goal is to evaluate and fine-tune models to improve predictive accuracy and decision-making in production processes.
Your main responsibilities will be:
Analyze transformer architectures and their ICL capabilities for ASML-specific processes.
Fine-tune models on diverse datasets to enhance domain-specific performance.
Integrate multiple data sources to build robust predictive models.
Validate results with domain experts and document findings.
Deliver well-structured maintainable code for future use.
Summarize insights and propose improvements for model deployment.
This is a masters thesis internship for a minimum of 6 months 5 days per week (3 days on-site). The start date of this internship is as of February 2026.
Your profile
To be suitable for the internship you:
Are enrolled in a masters degree in computer science data science applied mathematics or applied statistics.
Have strong knowledge of deep learning frameworks (e.g. PyTorch) and Python programming.
Understand natural language processing and have experience with related projects.
Are analytical proactive and able to work independently.
Communicate effectively in English (both spoken and written) and are able to explain technical data to the team.
Other requirements you need to meet:
You are enrolled at an educational institutefor 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 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.
Need to know more about applying for a job at ASML Read our frequently asked questions.
Required Experience:
Intern
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