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.
IntroductionIn
ASML’s Research department, new concepts and applications are being invented and designed for future markets of lithography and metrology in various fields of semiconductor manufacturing. In the area of sensors and metrology, innovative approaches for sensor data processing and parameter inference are being generated within the framework of machine learning.
Job Mission
Execute high-level research with application to supervised machine-learning (ML) for parameter inference from sensor signals.
Job Description
This research position is directed towards machine-learning for sensor signal processing. The research will be carried out within a multi-disciplinary project-team with clear ambitions and tasks.
Education
PhD in Computer Science or alike, with a specialization in Machine learning. Additional expertise in the area of computational modeling is a pre.
Experience
We are looking for an enthousiastic researcher with a few years of experience in application of machine learning for parameter inference, preferably in the area of sensor signal processing.
Personal skills
We are looking for a person with the following skill-set:
- Solution-oriented and innovative mind-set
- Team-player- Commitment to team and company
- High personal ambition and drive
- Drive to deliver excellent performance
- Self-propellingness
- Communication skills for communication at various levels in the organization
- Willingness to learn the Dutch language.
Context of the position
This project will be carried out at ASML-Research. The project is further part of an intensive collaboration with other departments within the ASML organization.
PhD in Computer Science or alike, with a specialization in Machine learning.
We are looking for an enthousiastic researcher with a few years of experience in application of machine learning for parameter inference, preferably in the area of sensor signal processing.
We are looking for a person with the following skill-set:
- Solution-oriented and innovative mind-set
This project will be carried out at ASML-Research. The project is further part of an intensive collaboration with other departments within the ASML organization.
Please apply with your CV and cover letter by the 'apply' button below
Education Backgrounds: |
Mechanical Engineering Software Engineering |
Specialties: |
Computer Networks Programming |
Education Level: |
Undergraduate (Bachelors) Postgraduate (Masters) |
Experience: |
0 - 2 years 2 - 5 years 5 - 10 Years |
Languages spoken: |
English |
Job Location: | Veldhoven, Netherlands |
Keywords: | Computer Science, Machine learning, computational modeling |
Type: Job
Deadline: 22nd December 2024
Job reference (ID): 16204
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