Summer Intern - Defect Data Analysis Systems

Job description

This internship supports the Defect Characterization Engineering team, whose primary mission includes developing and improving the defect yield‑management system, reducing mean time to detect (MTTD), enabling data‑driven defect monitoring, and supporting continuous improvement across the fab. The intern will help extend these capabilities by developing AI and machine learning models to enhance data mining, automate pattern recognition, and deliver actionable insights that assist engineers in detecting excursions, identifying defect signals, and improving overall yield. This work directly supports the group’s existing focus on improving data‑analysis techniques and advancing inline inspection strategies. - Collaborate with engineers to enhance detection of defects of interest (DOI) through improved data‑analysis algorithms and automated classification approaches. - Create analytical workflows that strengthen data‑mining capabilities and complement existing yield‑management applications. - Perform statistical analysis, including multivariate and univariate methods, to validate AI model outputs and support engineering decisions. - Assist in designing and executing experiments (DOE), e...