Data Analytics Intern: Sensor Data & ML for Manufacturing

Applied Materials, Inc.; Singapore; On-site; SGD 20,000 - 27,000; Full time

Job summary

Applied Materials, Inc. in Singapore invites Interns/Students to join a Traineeship Project focused on conditioning detection in semiconductor manufacturing.

You will work with process engineers and data scientists to analyze sensor data, develop algorithms, and build data pipelines. The role offers hands-on experience in applying machine learning and data analysis to real industrial problems, cross-functional collaboration, and exposure to manufacturing workflows within a global leader in

Qualifications

• Programming in Python.
• Basic knowledge of machine learning and data analysis.
• Understanding of physics principles related to sensing and measurement.
• Familiarity with data visualization tools.
• Ability to interpret experimental results and draw conclusions.
• Familiarity with semiconductor manufacturing processes.

Responsibilities

• Analyze sensor data streams and develop algorithms to identify conditioning completion.
• Validate and refine detection models to improve process consistency.
• Build data pipelines and run experiments to test methods.
• Collaborate with process engineers, data scientists and field engineers.

Skills

Python

ML & data analysis

Physics principles

Data visualization

Interpret experiments

Semiconductor processes

Education

Materials Science & Engineering

Mechanical Engineering

Job description

Applied Materials, Inc. in Singapore invites Interns/Students to join a Traineeship Project focused on conditioning detection in semiconductor manufacturing.

You will work with process engineers and data scientists to analyze sensor data, develop algorithms, and build data pipelines. The role offers hands-on experience in applying machine learning and data analysis to real industrial problems, cross-functional collaboration, and exposure to manufacturing workflows within a global leader in