Description
Micron Technology is seeking an intern for a full-time, at least five-month project focused on developing data-analytics and detection models to identify early cell-metric drift in semiconductor manufacturing. The intern will analyze inline, probe, cell-metric, and quality data; apply statistical analysis and detection-modelling techniques; explore AI-enabled workflows; and produce dashboards, visualizations, a monitoring methodology, and a final technical report. The role requires strong analytical, problem-solving, and data-interpretation skills, experience with data analytics, statistical analysis, or visualization tools, and familiarity with Python, R, SQL, Power BI, or similar tools is advantageous.
