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Advanced Research Center for Nanolithography (ARCNL)

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 gross salary of €3,115 per month plus employment benefits. The position is funded through ARCNL/NWO-I rather than an EU programme. ARCNL assists new foreign PhD students with housing and visa applications and compensates transport costs and furnishing expenses.

Deadline

Feb 24, 2027

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Country

Netherlands

University

Advanced Research Center for Nanolithography (ARCNL)

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Keywords

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

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About this position

PhD opportunity at ARCNL, Netherlands in physics-informed machine learning for semiconductor metrology.

This project asks how machine learning and physics can be combined to recover nanoscale information from imperfect images. The research focuses on computational physics, inverse problems, scientific computing, and mathematical modeling, with a strong application to measuring nanometer-scale structures in modern computer chips.

You will develop a novel physics-informed ML approach that integrates physical simulations of the measurement process with inverse reconstruction. A key part of the work is data-driven experimental design: optimizing measurements and configurations to extract the most useful information for reliable parameter reconstruction.

The project is based at ARCNL in Amsterdam Science Park, in close collaboration with ASML, Centrum Wiskunde & Informatica (CWI) with Prof. dr. Tristan van Leeuwen, and the AI4Science Lab, Informatics Institute, University of Amsterdam with dr. Patrick Forré. The environment combines industrial relevance with academic depth in computational science and mathematical modeling.

Eligibility: MSc degree in computer science, machine learning, artificial intelligence, applied mathematics, physics, or a related discipline; Dutch university requirements for PhD entry; strong English; and preferably experience in machine learning, inverse problems, or scientific computing.

Funding: full-time 4-year PhD appointment, gross salary €3,115/month, employment benefits, and support for housing, visa, transport, and furnishing for international candidates.

Deadline: 24 February 2027.

Funding details

Full-time PhD appointment for four years with a gross salary of €3,115 per month plus employment benefits. The position is funded through ARCNL/NWO-I rather than an EU programme. ARCNL assists new foreign PhD students with housing and visa applications and compensates transport costs and furnishing expenses.

What's required

Applicants should have or soon obtain an MSc degree in computer science, machine learning, artificial intelligence, applied mathematics, physics, or a related discipline, meeting 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 verbal and written English are essential.

How to apply

Apply online via the AcademicTransfer vacancy page or the Euraxess link. Use the online application button and note that online screening may be part of the selection process.

More information can be found here

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