30+ days ago - req33331

Data Analyst – Optics Lifetime

Research & development

Data science

Chemistry & materials science

In a nutshell

Location

Veldhoven, Netherlands

Team

Research & development

Experience

0-2 years

Degree

Master

Job Category

Data science, Chemistry & materials science

Travel

10%

Introduction to the job

Do you like the challenge of distilling valuable insights from a large volume of data? Are you excited applying these insights to solving complex questions of material science? Do you enjoy teamwork, solving problems using creative thinking to improve the performance of one of the most complex machines ever built? If so, you will enjoy ASML and especially the EUV Optics Lifetime team. You will need to be a true self-starter, making contacts with different disciplines at different levels and convincing peers and stakeholders to follow your technical lead.


Position in the organization
The Data Analyst of Optics Lifetime reports to the group Optics Lifetime, and is contributing to multidisciplinary projects. The group’s mission is to protect, predict and validate the transmission of all EUV optical surfaces and coatings of the EUV system over lifetime.

  • We drive system design requirements to protect and clean EUV optical surfaces and coatings
  • We develop knowledge and models (scaling laws) to predict and prevent EUV (plasma) driven contamination and (coating) degradation mechanisms

Role and responsibilities

Job mission

Our EUV Optics Lifetime group aims to achieve optimal and reliable EUV system performance by predicting and securing EUV optics lifetime. A large number of EUV scanners are continuously used in production by our customers. By carefully looking at their parameters the team is extracting valuable learnings that help calibrate existing degradation models, identify and find solutions for hidden problemsand improve predictions for the new systems.
As an analyst, you are responsible for defining, monitoring and analyzing the key performance indicators relevant for optics lifetime of EUV scanners at customer sites. You will dive into the available data and seek to connect the performance to potential underlying root causes. This will eventually translate into possible design and software changes that help eliminate or mitigate degradation processes.
You will need to combine your creative problem-solving abilities with analytical thinking and an assertive attitude. This will drive development of innovative solutions that work around, break through and/or solve disturbances quickly, without impacting on projected performance budgets and delivery times. To achieve these solutions you will need to prioritize and set your own goals.


Job description (in main lines):

  • To drive optimization of the lifetime of EUV optics
  • Monitor, analyze and explore field performance data, collect learnings and support root cause investigations.
  • Connect with the architects and the project teams to learn how the hardware operates and stay in touch with the ongoing challenges.
  • Develop, maintain and grow relevant software toolboxes needed to perform data extraction and analysis.
  • To provide means and methods to diagnose and prevent EUV optics contamination and degradation (incl. specifying, designing and realizing dedicated test setups)
  • To deliver customized solutions that address specific customer usage problems in its own fab set-up and application,which could involve travel to our customers
  • Clearly communicate and align with relevant stake holders.

Education and experience

Required capabilities
Education level

  • MSc in (Physical) chemistry, Material Science or similar.

Experience/knowledge

  • Data analytics and/or data science (preferably with experience in predictive models) ;
  • Experience with real-time databases. Experience and understanding of enterprise database structure and analysis tools is a plus
  • Experience with Business Intelligence tools (Spotfire, Tableau etc.);
  • Demonstrable programming skills in Matlab and/or Python
  • A High level of analytical thinking and working, being able to efficiently collect, organize and analyze complex datasets and ensuring the right follow-ups are in place;
  • Experience in catalytic chemistry or plasma physicsis a strong plus Prior knowledge in optics or imaging is a benefit

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:

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

  • Team player, ability to interact with intercultural teams
  • Self-propelling, showing initiative and drive
  • Flexible, result driven and committed
  • Able to break down a large problem into manageable components
  • Problem solver that combines a strong analytical ability with a pragmatic and pro-active attitude
  • You are eager to learn, not afraid to take responsibility and are able to step into the mind of a customer
  • Good communicational skills and good knowledge of English
  • You have the ability to influence without power;
  • The ability to empathize with various stakeholders, both within ASML and with ASML’s customers.
  • A high level of independence;
  • A true interest in semiconductor industry;
  • A pro-active, open and ambitious attitude;
  • Ability to create and cultivate a broad network of relationships with the people inside and outside ASML;