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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.
Project Description: The project focuses on enhancing the reliability and predictive maintenance capabilities of electrical systems within the F10 facility through online partial discharge (PD) monitoring integrated with advanced data analytics
Project Scope:
Deploying and calibrating PD sensors across critical electrical assets to enable real-time condition monitoring.
Collecting and preprocessing PD data, including signal filtering, noise reduction, and timestamp alignment.
Applying advanced analytics techniques such as machine learning, statistical modeling, and pattern recognition to identify early signs of insulation degradation or equipment failure.
Developing dashboards and visualization tools to present PD trends, anomalies, and actionable insights to engineering and maintenance teams.
Collaborating with cross-functional teams to validate findings and recommend maintenance actions based on data-driven insights
The student will have the opportunity to learn and apply industrial data analytics, modeling, simulation and optimization skills to solve the practical issues and bring real impact on the Electrical system.
The intern will also have opportunity to participate to an end-to-end solution development team to contribute ideas and learn from industrial subject experts.
Deliverable: A working PD monitoring system with data analytics tools and a dashboard for real-time insights.
Skillsets Required:
Currently pursuing a diploma or degree in Electrical Engineering, Data Science, or a related field.
Strong analytical and problem-solving skills, with an interest in predictive maintenance and industrial applications.
Proficiency in programming languages such as Python, R, or MATLAB for data analysis and visualization.
Familiarity with data analytics techniques including signal processing, machine learning, and statistical modeling.
Ability to work with large datasets, including data collection, cleaning, and interpretation.
Good communication skills and the ability to collaborate effectively in cross-functional teams.
Course of interests: Engineering, Computer Science, Data Analytics, Manufacturing Systems, or related fields
Duration Period: min 5 months (Semester Internship from January 2026 to May 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
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