PhD Student: Computational Imaging for Industrial Quality Control

About the role

Four-year fully funded PhD position at CWI’s Computational Imaging Group in Amsterdam. The contract is 18 months initially, extended to a full four years after positive evaluation. The project fuses X-ray tomography and ultrasound imaging with machine learning to build computational tools for industrial quality control. Deadline 30 June 2026.

Responsibilities

• Design and run research on computational methods that combine X-ray tomography, ultrasound, and machine learning.
• Translate the techniques into real industrial quality-control workflows through consortium partners.
• Publish results in journals and present at international conferences.
• Contribute to teaching at Utrecht University, where the PhD is registered.

Requirements

• Master’s degree in applied mathematics, computational physics, computer science, or a related field with a strong computational background.
• Hands-on experience with imaging technologies and data analysis.
• Fluent English, written and spoken.
• Ability to communicate clearly across applied-mathematics and engineering disciplines.

Nice to have

• Background in machine learning frameworks for imaging, PyTorch, JAX, or similar.
• Familiarity with imaging physics, particularly tomography or ultrasound.
• Experience with industrial collaboration or translational research.

How to apply

Send the application package via the CWI portal at the apply link: motivation letter, CV with two reference contacts, transcript of grades, Master’s thesis (or draft), and preferably a publication list.