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Tristan van Leeuwen

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PhD in Physics-Informed Machine Learning for Semiconductor Metrology ARCNL in Netherlands

Degree Level

PhD

Field of study

Computer Science

Funding

Full-time PhD appointment for four years with a starting gross salary of €3,115 per month, plus employment benefits. ARCNL also assists new foreign PhD students with housing and visa applications and compensates transport and furnishing expenses.

Deadline

Feb 24, 2027

Country flag

Country

Netherlands

University

Advanced Research Center for Nanolithography (ARCNL)

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Keywords

Computer Science
Electrical Engineering
Mathematics
Mathematical Modeling
Computational Science
Nanoscience
Inverse Problem
Physics

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About this position

This PhD project addresses a core challenge in semiconductor metrology: recovering nanoscale physical information from limited, noisy, and low-resolution images. The work focuses on developing a physics-informed machine learning approach that combines physical simulation of the measurement process with inverse reconstruction methods, aiming to infer hidden properties of modern chip structures efficiently and reliably.

The project is situated at ARCNL, an institute dedicated to fundamental research on the physics and chemistry behind current and future nanolithography technologies for the semiconductor industry. ARCNL works in close connection with ASML, giving the project strong industrial relevance while maintaining a research environment focused on scientific excellence. The institute is based at Amsterdam Science Park and hosts an international community of researchers.

You will collaborate closely with researchers at ASML, the Centrum Wiskunde & Informatica, and the AI4Science Lab at the Informatics Institute of the University of Amsterdam. The topic combines computational science, mathematical modeling, and data-driven methods, with a particular emphasis on how measurement choices and experimental configurations can be optimized to improve parameter reconstruction. This makes the position especially relevant for students interested in the interface between machine learning, physical modeling, and advanced measurement science.

The appointment is hosted by ARCNL and leads to a PhD degree at a Dutch university upon successful completion. The institute also offers a structured environment with courses designed for PhD students and support for international researchers.

Funding details

Full-time PhD appointment for four years with a starting gross salary of €3,115 per month, plus employment benefits. ARCNL also assists new foreign PhD students with housing and visa applications and compensates transport and furnishing expenses.

What's required

Applicants should have, or shortly expect to have, an MSc degree in computer science, machine learning, artificial intelligence, applied mathematics, physics, or a related discipline that meets Dutch university requirements for entry into a PhD program. A background in machine learning, inverse problems, scientific computing, or related data-driven methods is highly desirable. Strong analytical skills, a collaborative mindset, and proficiency in spoken and written English are essential.

How to apply

Apply online via the AcademicTransfer application link. Online screening may be part of the selection process.

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Professors

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University Name
Country flag

Netherlands

Research Interests

Physics

Nanoscience

Mathematics

Computer Science

Mathematical Modeling