PhD in Scalable Safe AI: Eindhoven University of Technology is inviting applications for a PhD position focusing on scalable and safe AI models for semiconductor metrology. This project aims to push the boundaries of model distillation and robustness methods for challenging real-world problems in the semiconductor industry.
PhD in Scalable Safe AI for Semiconductor Metrology, Netherlands
Designation
PhD Candidate
Research Area
- Artificial Intelligence
- Machine Learning
- Data Science
- Computer Science
- Semiconductor Metrology
Location
Eindhoven University of Technology (TU/e) & ASML locations, Netherlands
Eligibility/Qualification
| Criteria | Details |
|---|---|
| Educational Background | Master’s degree in AI, Machine Learning, Data Science, or related field |
| Skills | Strong programming skills in machine learning |
| Experience | Preferably in model distillation, adaptation, and relevant topics |
| Language Proficiency | Fluent in spoken and written English (C1 level) |
Description
The PhD project will develop data-efficient methods for fine-tuning and distilling AI models under strict data and privacy constraints. The candidate will work within the Data and AI cluster at the Department of Mathematics and Computer Science, supervised by prof.dr. Mykola Pechenizkiy and dr. Ghada Sokar, in collaboration with ASML AI Research Team.
Key Highlights:
- Full-time employment for four years
- Teaching responsibilities (10-15% of time)
- Access to national computing infrastructure and datasets
- Competitive salary (€3,059 – €3,881) with additional benefits
How to Apply
Interested candidates must submit a complete application that includes:
- Cover letter describing motivation and qualifications
- Curriculum vitae including projects and publications
- Copy or link to MSc thesis or academic writing sample
- Contact information for two references
Apply through the official TU/e application portal (do not send applications via email or post).
Last Date to Apply
March 18, 2026
Additional Information
For queries, contact the hiring manager, Mykola Pechenizkiy, at m.pechenizkiy@remove-this.tue.nl. Visit the TU/e website for more details on the application process and employment conditions.
