Semiconductor Data Analytics Intern — AI & Process Control

1100 Micron SemiAsiaOP Pte Ltd

Singapore

On-site

SGD 17,000 - 20,000

Full time

2 days ago
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Job summary

Micron Technology, Inc. in Singapore invites students to join a full-time internship on the Cumulative Error Variation Reduction in Staircase and Chop Etch Processes project.

You will analyze manufacturing process and measurement data to identify sources of cumulative error variation and develop data-driven control strategies. The role offers exposure to dry etch processes, staircase flow integration, statistical analysis, data visualization, and AI-enabled workflows, with collaboration across

Qualifications

  • Strong analytical and problem-solving skills.
  • Familiarity with statistical analysis and data visualization.
  • Experience with Python, R, SQL, or JMP is advantageous.

Responsibilities

  • Analyze manufacturing process and measurement data to identify sources of cumulative error variation.
  • Develop data-driven control strategies to reduce variation and improve inline process stability.
  • Create data visualizations and summaries of key findings and relationships.
  • Collaborate with cross-functional engineering teams and stakeholders to implement improvements.

Skills

Analytical skills
Problem solving
Semiconductor processes interest
Statistical analysis
Data visualization
Machine learning / AI tools
Python
R
SQL
JMP

Education

Pursuing degree in Materials Science & Eng or Chemical Eng or Electrical/Electronic Eng or Mechanical Eng

Tools

Python
R
SQL
JMP

Job description

Micron Technology, Inc. in Singapore invites students to join a full-time internship on the Cumulative Error Variation Reduction in Staircase and Chop Etch Processes project.

You will analyze manufacturing process and measurement data to identify sources of cumulative error variation and develop data-driven control strategies. The role offers exposure to dry etch processes, staircase flow integration, statistical analysis, data visualization, and AI-enabled workflows, with collaboration across

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