Engineering internship: multivariable machine learning

Veldhoven, Building 06, Netherlands

ASML

ASML gives the world's leading chipmakers the power to mass produce patterns on silicon, helping to make computer chips smaller, faster and greener.

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Introduction to the job

The wafer clamp is a complex piece of hardware that interacts with the customer's wafers. It is crucial for enabling lithography to meet the ever-tightening specifications on overlay, focus, and throughput while ensuring high availability. If you are curious about understanding what drives customer performance in our scanner, and if quantifying that performance through inspection, tests, and data analysis energizes you, then this position is for you. You will gain experience in a world-leading technology company during your studies by being part of a team of highly motivated and young engineers who will accompany you on this journey.

Your assignment

In the ASML Wafer Table and Clamp Analysis Group, we collect various data to analyze performance of wafer clamps. The ultimate aim from this department is to build an artificial intelligence-based framework.

This framework has the potential to not only assist us in predict clamp performance and the impact of wear patterns, but also would help to increase the clamp lifetime. It will benefit ASML in providing guidance towards relevant control actions. The main assignment includes:

  • Collect historical clamp data structures with known links to clamp performance and build and validate a suitable ML algorithm / model to predict this performance given new clamp data.
  • To accelerate the effective use of available data, and to predict performance and wear patterns of the clamp based on this data.

This is a Master's internship for 6 to 9 months, minimum 4 days per week/maximum 5 days per week. The start date of this internship is as soon as possible.

Your profile

You are currently pursuing a degree with any Engineering or Physics or Mathematics background or a related field with interest in data analysis role. Additionally, to be a fit for this assignment, you have:

  • Knowledge of Programming skills (Python and Matlab) .
  • Experience with machine learning libraries and frameworks are highly desirable.
  • Excellent English communication skills.
  • Curiosity and eagerness to learn, a team player, resilient, initiative, proactiveness behavior is a plus.

Other requirements you need to meet:

  • You are enrolled at an educational institute for the entire duration of the internship;
  • You are located in the Netherlands to 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).

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.

Diversity and inclusion

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 diversity and inclusion is a driving force in the success of our company.

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Tags: Data analysis Engineering Machine Learning Mathematics Matlab Physics Python R

Perks/benefits: Startup environment

Region: Europe
Country: Netherlands

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