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Intern - FAC Electrical at Micron Technology

, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

28 Jan, 26

Salary

0.0

Posted On

30 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Electrical Systems, Data Analytics, Machine Learning, Statistical Modeling, Pattern Recognition, Condition Monitoring, Signal Filtering, Noise Reduction, Dashboard Development, Visualization Tools, Collaboration, Predictive Maintenance, Partial Discharge Monitoring, Simulation, Optimization

Industry

Semiconductor Manufacturing

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 -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.

Responsibilities

The intern will deploy and calibrate PD sensors for real-time monitoring of electrical systems and apply advanced analytics techniques to identify early signs of equipment failure. They will also develop dashboards to present insights and collaborate with teams to recommend maintenance actions.