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# Phd: physics-informed machine learning for semiconductor metrology

- **Company:** Advanced Research Center for Nanolithography
- **Location:** Amsterdam, Netherlands
- **Salary:** €3,115.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Machine Learning, Scientific Computating, Information Technology, Data Analytics
- **Published:** November 3, 2026
- **Apply:** https://nl.talent.com/redirect?id=634735407484569392&source=vacant&utm_medium=xml&utm_campaign=marketing&utm_product=vacantnew_bulk&oapply=org_v2026-11&puid=edaaadddddacadd9bddd9ddbeddcaddgada9bddc9dd89ddcbddbaddabda7adddcdd79ddebea3addffddgaed2dddgaddgfddgaddgaddg9ddg6ed3gc9bbb9b3bee3ee33def3de93de73dedgddagdddfddc3de83deagdd93ee33de93deg3ee33ee33deg3ee33ee33ee33ee33ee33ee3&pos=7&xml_batch_generation_id=5e539044-513f-4820-85e3-e7c102b58b5e&falcon=1&pid=1e5caf58f41c&bpid=b8a27f7bc47d81f6c1450090aa9d6913

## About the Role

You have (or soon will have) a MSc degree in computer science, machine learning, artificial intelligence, applied mathematics, physics, or a related discipline, meeting the 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. You are curious about combining physical modeling with data-driven methods and are motivated to work at the interface of academia and industry. Strong analytical skills, a collaborative mindset, and proficiency in verbal and written English are essential.

## Description

Modern computer chips are built with features only a few nanometers across, yet manufacturers need to measure these structures with extraordinary precision and do so quickly enough to keep up with large-scale production. This creates a fascinating computational challenge: how can we infer hidden physical properties from limited, noisy, and low-resolution measurement data?

In this project, you will develop a novel physics-informed machine learning approach that integrates physical simulations of the measurement process with its inverse reconstruction. A key challenge is the data-driven design of the experimental setup: exploring how the choice of measurements and configurations can be optimized to extract the most useful information for reliable parameter reconstruction.

You will work in close collaboration with the research department at ASML, the Centrum Wiskunde & Informatica (CWI, Prof. dr. Tristan van Leeuwen), and the AI4Science Lab, Informatics Institute, University of Amsterdam (dr. Patrick Forré), combining industrial relevance with academic depth in computational science and mathematical modeling., The position is intended as full-time (40 hours / week, 12 months / year) appointment in the service of the Netherlands Foundation of Scientific Research Institutes (NWO-I) for the duration of four years, with a starting salary of gross € 3.115 per month and a range of employment benefits. After successful completion of the PhD research a PhD degree will be granted at a Dutch University. Several courses are offered, specially developed for PhD-students. ARCNL assists any new foreign PhD-student with housing and visa applications and compensates their transport costs and furnishing expenses.