Intern - ADTS ATI PI Posted ago

Position: Intern - ADTS ATI PI  Posted 19 hours ago
## Intern - ADTS ATI PISingapore, Singapore Apply Now Find out how well you match with this jobJob :
JR112258
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** Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.##

DepartmentADTS ATI PI## Project Title Faster Cell Metrics Drift Detection Using Advanced Data Analytics## Project Description The intern will undertake a structured engineering project to develop data analytics and detection models for the early identification of cell metric drift using large-scale manufacturing test and measurement data.

Under the guidance of experienced engineers, the intern will analyze relationships among inline, probe, cell metric, and quality data. The intern will gain exposure to industrial data analytics, statistical analysis, detection modelling, and visualization techniques used in semiconductor manufacturing.

The project may also involve AI-Enabled workflows for data exploration, pattern identification, and analytical productivity. Project activities will focus on defined analytical assignments and measurable learning outcomes.## Objective of the Project
* Develop an understanding of cell metrics and their relationship with semiconductor manufacturing and product-quality data.
* Analyze manufacturing data to identify early indicators of cell metric drift.
* Develop a detection methodology for monitoring selected cell metrics and potential quality excursions.
* Communicate analytical findings through clear dashboards, visualizations, and technical documentation.## Opportunities for Full-Time Employment High-performing interns may be considered for future internship or full-time employment opportunities, subject to business requirements, position availability, and the applicable selection process.## Project Scope
* Study the assigned cell metrics, manufacturing data sources, and quality-monitoring requirements.
* Analyze correlations among inline, probe, cell metric, and quality data.
* Apply statistical analysis and relevant detection-modelling techniques to identify trends, patterns, and potential drift indicators.
* Develop dashboards and visualizations to communicate analytical insights and project results.
* Explore AI-Enabled workflows for data exploration, anomaly identification, or analytical productivity where relevant.## Learning Opportunities
* Gain hands-on experience with semiconductor manufacturing data analytics.
* Develop practical knowledge of statistical analysis, detection modelling, and drift-monitoring techniques.
* Learn how dashboards and visualizations are used to communicate engineering insights.
* Collaborate with cross-functional engineering teams and subject matter experts.## Deliverables
* A documented cell metric monitoring methodology for the assigned use case.
* An early drift-detection methodology and visualization solution.
* A dashboard or analytical report presenting relevant trends, correlations, and findings.
* Recommendations for improving cell metric and quality-monitoring effectiveness.
* A final technical report and presentation summarizing the project methodology, results, limitations, and recommendations.## Impact of the Project
* Enable earlier detection of cell metric drift and potential quality excursions.
* Improve visibility into relationships among inline, probe, cell metric, and quality data.
* Provide analytical…