Location

Fab10 N Singapore

Department

Advanced Technology Singapore – Process and Equipment Engineering (PEE)

Project Title

Data‑Driven Process and Equipment Optimization in Semiconductor Manufacturing

Project Description

This internship provides exposure to data‑driven engineering initiatives within high‑volume semiconductor manufacturing. The project focuses on applying data analytics and engineering methodologies to study process stability, equipment performance, and manufacturing efficiency. Through analysis of large datasets generated from manufacturing tools, the intern will gain insight into real‑world semiconductor manufacturing challenges and improvement opportunities.

Objectives

The objective of this project is to apply data analytics techniques to identify trends, variability, and performance gaps in process and equipment data, and to generate insights that contribute to improved manufacturing per...