Research Scientist/Engineer: Traceable Nanostructure Measurements
Core
Develop SI-traceable measurement methods for nanostructures to provide reliable physical ground truth and validated measurement methods for AI training and evaluation in quantum and semiconductor manufacturing.
Role type
Research Scientist/Engineer (Metrology & AI Validation)
Builds
Physical reference structures, measurement methods, uncertainty analyses, benchmark datasets, and scientific publications.
Domain
Nanotechnology, Quantum Manufacturing, Semiconductor Metrology, Scientific Machine Learning
Deliverable
production ML models | research | infrastructure
Required skills
nanoscale dimensional metrology, microscopy methods (SEM, AFM, optical), instrument-sample interaction modeling, nanofabrication, inverse problems, statistics, uncertainty quantification, scientific machine learning, semiconductor metrology, quantum-device fabrication and measurement
Preferred skills
leadership of research projects, integration of fabrication and measurement capabilities
Technologies
Scanning Electron Microscopy, Atomic Force Microscopy, Optical Microscopy
Responsibilities
Design and use physical reference structures measurable by multiple microscopy methods, reveal and quantify systematic differences among measurement methods, characterize instrument response, determine bias and uncertainty of AI inference models, develop new measurement methods and calibration procedures.
Seniority
Postdoctoral to Senior/Principal (range depending on qualifications)
