Foundation Models for High-NA EUV Lithography & Metrology

Imec; Vlaams-Brabant; Sur place; EUR 13 000 - 20 000; Plein temps

Avantages offerts par ce poste

Internship program

Fully funded internship

6–9 months duration

Résumé du poste

Imec invites applications for an internship at the intersection of foundation models and semiconductor metrology. You will explore transformer-based approaches and continual learning to advance predictive lithography and metrology workflows with real industrial data.

You will work in a small team, supervised and mentored toward potential publications, with a focus on reducing computational costs and improving process control. The position is a 6–9 month, fully funded internship based in Belgium.

Qualifications

• Bachelor-level or higher with strong ML coursework.
• Fluent in English; capable of scientific writing.
• Strong programming skills in Python; C/C++ a plus.
• Interest in foundation models, continual learning and ML for lithography.
• Experience with PyTorch or JAX is expected.
• Ability to work in an interdisciplinary research team.

Responsabilités

• Literature review and data curation for SEM/TEM datasets.
• Develop architectures (transformers, JEPA, world models) for chosen tasks.
• Train models on GPUs and evaluate generalization.
• Publish findings in ML/CV venues and collaborate with domain experts.
• Contribute to documentation and code for reproducibility.

Connaissances

Python programming

English fluency

Team collaboration

Research mindset

Formation

Bachelor’s degree or Master’s candidate in Computer Science/Engineering/Physics

Outils

PyTorch

JAX

Description du poste

Imec invites applications for an internship at the intersection of foundation models and semiconductor metrology. You will explore transformer-based approaches and continual learning to advance predictive lithography and metrology workflows with real industrial data.

You will work in a small team, supervised and mentored toward potential publications, with a focus on reducing computational costs and improving process control. The position is a 6–9 month, fully funded internship based in Belgium.