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Project Title
Application of Data Analytics in Semiconductor Metrology Processes
Project Description
This internship project focuses on the application of data analytics within a semiconductor manufacturing environment. The intern will explore how metrology systems generate process data and study methods to extract insights that enhance manufacturing performance.
The project emphasises structured learning through data-driven investigation, visualisation design, and the exploration of automated metrology systems. The intern will work on a defined analytical project to understand patterns in metrology data and uncover opportunities for process improvement.
Objective of the Project
To develop analytical models and visualisations that improve understanding of metrology data and identify opportunities to enhance process efficiency and manufacturing performance.
Opportunities for Full Time Employment
Interns demonstrating strong technical learning, problem-solving capability, and project ownership may be considered for full-time employment opportunities, subject to organisational hiring needs.
Project Scope
- Study the role of metrology within a frontend semiconductor manufacturing facility
- Explore advanced metrology techniques and their integration with automated systems
- Perform structured data analysis on metrology datasets to identify trends and performance gaps
- Design and develop data visualisation frameworks for production tracking and insight generation
Learning Opportunities
- Exposure to semiconductor manufacturing processes and metrology applications
- Understanding of industrial data analytics practices in a high-technology environment
- Experience in data extraction, transformation, and analysis from manufacturing systems
- Development of data visualisation techniques for engineering decision-making
Deliverables
- Extract and consolidate metrology data from relevant systems
- Perform data analysis to identify trends, anomalies, and improvement opportunities
- Design and present visual dashboards or reports to illustrate key process insights
Impact of the Project
- Enhanced visibility of metrology data across production processes
- Improved identification of efficiency gaps and optimisation opportunities
- Contribution to data-driven decision-making in manufacturing operations
Skillsets Required
- Basic programming knowledge (Python preferred)
- Foundational understanding of data analysis and statistics
- Strong problem-solving and analytical thinking abilities
Courses of Interest
- Applicants with a certification or diploma in Engineering (including Electrical, Mechanical, or related fields), Data Analytics, Information Technology, or Applied Science are encouraged to apply
Duration Period (minimum in months)
About Micron Technology, Inc.
We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.
To learn more, please visit micron.com/careers
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_sg@micron.com
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
