System Performance Investigation Field Data Mining Analyst

In a nutshell


Veldhoven, Netherlands

Published: 19 days ago Job ID: J-00256266-674

Introduction to the job

DUV systems are the workhorses of the semiconductor industry. Therefore our customers are aiming to squeeze more and more “good wafers per day” out of their existing systems. This means that we as ASML have to understand the scanner behavior in and interaction with the customer fab, in order to improve system performance and predictability. This is where System Performance Investigation (SPI) DUV’s Field Data Mining team comes into play: We investigate the DUV scanner performance in the customer fab using “massive” sets of scanner and on-product performance data, in order to gain knowledge for improvement opportunities for future platform as well as install baseline products and services developments.

Role and responsibilities

As a SPI Field Data Mining Analyst, you work on studies using data gathered from our customers. You analyze, breakdown and correlate this data in order to obtain new insights into scanner performance in the customer environment, its contributors, root causes and interdependencies with the customer fab ecosystem.Domain knowledge of the DUV scanner as well as customer on-product performance and control is key to drive your analysis towards relevant conclusions and recommendations. These recommendations in turn are crucial to improve BL DUV’s scanner and service offerings, and help our customers to utilize their scanners more efficiently.

  • Performing data analysis and gather new insights into scanner performance in the field.
  • Driving the technical direction of your study in alignment with your stakeholders.
  • Interact with the test teams in SPI to have your hypotheses confirmed by proto testing and get inspired for your field data mining study by their new fundamental observations.
  • Document and communicate your findings to your stakeholders and the surrounding
    technical community.
  • Knowledge transfer of your findings, as well as means and methods to your peers, and contribution to the buildup of technical competence of your department.

Education and experience

Technical University - PhD or MSc in Physics, Mathematics, Computer or Data Science, or similar.

  • Strong technical background and willingness to extend that background across competences.
  • Hands-on experience with scanner & on-product overlay is considered a plus.
  • Solid programming, data-analysis and visualization skills in Matlab, experience with database technologies (SQL) is considered a plus.
  • Affinity for data science, semiconductor device knowledge and customer fab operations.
  • Good verbal and written presentation & “storytelling” skills.


Working at the cutting edge of tech, you’ll always have new challenges and new problems to solve – and working together is the only way to do that. You won’t work in a silo. Instead, you’ll be part of a creative, dynamic work environment where you’ll collaborate with supportive colleagues. There is always space for creative and unique points of view. You’ll have the flexibility and trust to choose how best to tackle tasks and solve problems.
To thrive in this job, you’ll need the following skills:

The ideal candidate should be self-propelling, proactive, creative, analytical and (self) critical. She/he should connect easily with other experts in the field and especially in the team, and have the ability to build and extend her/his network in the organization. She/he should be customer minded, and have excellent communication skills, with a good command of the English Language. She/he should be able to find joy in the data analysis itself and be entertained by the story behind it. The candidate should enjoy the freedom of data mining and find inspiration to continue in the frustrationof a “dead end”.

Diversity & 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.

Other information

Keywords: On-product overlay, on-product performance, productivity, scanner performance, customer operation, data mining, data science.

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