Design a dashboard to track JJ yield metrics (resistance targeting, wafer spread, yield).
Integrate room-temperature probe data, MES outputs, and fabrication metadata into analytics.
Evaluate internal tools and decide upgrades or a new system.
Enable transparent, shareable tracking of JJ yield data.
Develop SPC visualizations for resistance targeting and spread.
Establish automated baseline tracking and drift detection.

🎯 Requirements

Enrolled in BS or MS in Physics, EE, Materials Science, Data Science, or related.
Strong Python skills (pandas, matplotlib/plotly, scientific computing).
Experience with data analysis and statistics.
Comfortable with structured data (CSV, SQL-like formats, APIs).
Clear written and verbal communication.

🎁 Benefits

Housing stipend up to $2,000 for relocation.
Learn JJ yield analytics and dashboard development.
Collaborative team with JJ modules and ISW.

🚚 Relocation support

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