Data-Science and Statistics Researcher Job in Veldhoven, Netherlands

ASML is one of the world’s leading manufacturers of chip-making equipment.

Our vision is to enable affordable microelectronics that improve the quality of life. To achieve this, our mission is to invent, develop, manufacture and service advanced technology for high-tech lithography, metrology and software solutions for the semiconductor industry.

ASML's guiding principle is continuing Moore's Law towards ever smaller, cheaper, more powerful and energy-efficient semiconductors. This results in increasingly powerful and capable electronics that enable the world to progress within a multitude of fields, including healthcare, technology, communications, energy, mobility, and entertainment.

Working at ASML
We provide the world’s top chipmakers everything they need to create better performing, cheaper semiconductor chips. Simply put: we are an industry leader supporting industry leaders.

As such, you’ll be encouraged to bring your best ideas and act on them. You’ll have the freedom, trust, and support in your field to experiment and solve complex challenges. Things are rarely dull when you’re constantly breaking new ground.

But despite our fast-paced environment at the forefront of tech, we take your work-life balance and wellbeing seriously. A business is only as good as its employees.

So join us, and you’ll be a part of a global collaboration. One that promotes creativity, the inclusion of highly diverse teams, and an exciting and dynamic work environment. Join us, and you’ll be a part of progress.

Data-Science and Statistics Researcher Job Description

Introduction
Are you challenged by demanding projects in a multidisciplinary context? Do you have the technical capabilities to provide innovative, data-driven and statistical solutions in an industrial research context? Does contributing to the world’s most advanced lithography machines makes you feel responsibleand proud? Then this might be the right opportunity for you.

Job Mission
ASML Research is looking for a Data Scientist to join and further develop the Data-science and AI group. The Data-science and AI group focus is on data-driven and statistical parameter inference technology to analyze, optimize and control the performance  of future and existing Lithography Tools. This covers combining Knowledge about the system with data from the system to find novel solutions for Fault Detection and Isolation, Predictive Maintenance, Drift Detection and Compensation. All this, for systems which belong to the most complex systems on earth.

Job Description
As Data-science and statistics expert, your work will consist of:

• Apply and develop methodologies and models to capture knowledge;
• Apply and develop state of the art machine-learning, statistics and information-theoretical methods that support identification of abnormal system-behavior and data relations;
• Work closely with domain experts to find, validate and understand causal relations;
• Ensure knowledge sharing at various levels in the organization and with colleagues from different disciplines;
• Support in identifying ‘best in class’ existing technologies, and high-potential, ‘beak-through’ new approaches;
• Provide guidance for (junior) data scientists in how to apply advanced data-science methods depending on the nature of the problem, the expected insights to be gained and the quality of the available data;
• Build and maintain network with external research institutes and universities. 

Data-Science and Statistics Researcher Job Requirements

Education
PhD ( preferably ) in Data Science, Machine Learning, Mathematics or  a related field, with dominant Data Science or Machine Learning component or Master in Engineering/ Physics  with  2-5 years relevant experience in Machine learning in academic or industrial research  environment.

Experience

• Experience in defining effective solution directions given a data challenge.- Broad knowledge of available tools, algorithms, and experience in how to apply them;
• Preferably experience in data-analysis related to complex systems, i.e. in the direction of anomaly detection or predictive maintenance;
• Strong pre if experience in a.o. Matlab and Python for machine-learning problems.

• Open to learning techniques outside of the above mentioned fields in the future;
• Autonomously identify relevant challenges and (new) solution directions;
• Inquisitive and strong personality;
• Pragmatic attitude with an analytical view;
• Able to communicate effectively across disciplines and at all organizational levels;
• Fluency in English.

Data-Science and Statistics Researcher Application Information

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Data-Science and Statistics Researcher Summary

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