Intern - F10 Quality – Process Control System (PCS) Visualization Analytics
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Our vision is to transform how the world uses information to enrich life for all.
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.
Location:
Micron F10N, 1 North Coast Drive, Singapore
Department:
Quality Engineering – Advanced Process Control
Project Title:
Data Visualisation and Analytics for Equipment Health Monitoring
Project Description:
This internship project focuses on the application of data visualisation and analytics techniques to large‑scale manufacturing sensor data within the quality engineering domain. Modern manufacturing equipment generates high‑volume sensor signals that provide valuable insight into equipment health and process stability. The project centres on transforming these data streams into meaningful visual information to enable earlier identification of equipment behaviour changes and process performance risks. The intern will work within a structured project team to design and develop an interactive visualisation platform that enables intuitive exploration of sensor trends and quality indicators.
Objective of the Project:
The objective is to develop the intern’s capability in engineering data analysis, visualisation design, and software development while strengthening understanding of how data‑driven methods contribute to manufacturing quality and efficiency.
Opportunities to be Offered for Full‑Time Employment:
Interns who demonstrate strong technical capability and learning outcomes may be considered for full‑time roles, subject to organisational needs and performance assessment.
Project Scope:
- Analyse large‑scale equipment sensor datasets related to manufacturing quality
- Design and develop interactive data visualisation features for trend analysis
- Enable intuitive exploration of data patterns related to equipment behaviour
- Define data pipelines and visual requirements for quality monitoring
- Collaborate with engineers and subject‑matter specialists on solution design
Learning Opportunities:
- Quality engineering concepts and data‑driven manufacturing
- Data analysis and feature extraction from industrial datasets
- Visualisation platform design for engineering applications
- End‑to‑end project development and cross‑functional collaboration
Deliverables:
- A functional interactive visualisation platform for sensor data exploration
- Documentation of system design, data structures, and analytical logic
- Summary report highlighting insights, findings, and project outcomes
- Final presentation of technical learning and project impact
Impact of Project:
The project strengthens manufacturing quality process control by improving visibility into equipment behaviour and enabling faster identification of potential quality risks.
Skillsets Required:
- Analytical and problem‑solving skills
- Programming experience in Python
- Knowledge of data handling and structured thinking
- Familiarity with web‑based visualisation technologies is advantageous
Course of Interests:
- Students from courses such as Data Analytics, Statistics, Mathematics, or Computer Science are encouraged to apply.
Duration Period:
Minimum 5 months (Priority will be given to those who can commit to a full time, semester long itnernship from July to Nov 2026)
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.
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