This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration's scientific research.
Research Title: Empowering Combined and Hybrid Metrology
The work will entail: Developing novel AI and ML methods to improve critical dimension metrology techniques and use the improved models and hybrid metrology approaches to determine how to combine different measurements in an optimal way to reduce the overall parametric uncertainties for industrially relevant semi-conductor architectures.
U.S. Citizen PreferredKey responsibilities will include but are not limited to: - Develop/improve AI/ML physics-based methods for CD estimation from non-imaging data .
- Evaluate accuracy and robustness of the developed methods and models.
- Presenting results at internal meetings, and occasional meetings with external stakeholders.
- Ensuring that results, protocols, software, and documentation have been archived or otherwise transmitted to the larger organization.
Qualifications - A PhD in mathematics, physics, or a related field.
- 10+ years of relevant experience.
- Familiarity with ML/AI methods and the theory of inverse problems.
- Familiarity with semiconductor metrology.
- Ability to work with a variety of measurement data relevant in the semiconductor industry.
- Familiarity with multiple scripting languages.
- Ability to develop prototypes of tools needed to analyze data.
- Strong oral and written communication skills.
