Job Description

The CSA division supplies sensors that bridge the gap between the world we live in and the digital world of machines. By converting physical signals - heartbeats, sounds, light waves - into data, we enable robots, cars and other devices to interact with people and improve our world. What drives CSA is a relentless desire to contribute to technology and have a meaningful impact on the world. This business thrives on solving complex problems and partnering with global leaders at the forefront of technological advancement. Our goal: to push the boundaries of sensor technology and empower innovators to make the world smarter, healthier and happier.
Internship: 4 May 2026 - 9 April 2027



As a Digital Twin specialist intern, you will work closely with Industry Engineering, IT, Capacity Planning, Production, Automation, and Maintenance departments to:

Develop analytic and real-time Digital Twin Simulation Models and apply Data Engineering, Data Analysis, and AI for Smart Factory implementation to:

Mirror and predict multi/mixed products output performance and identify bottlenecks for improvement Predict and optimize resources needed for cost savings and decision-making for capital investment and return on investment Analyze and improve operator and technician utilization to reduce cost Analyze and improve machine utilization to reduce capital investment Analyze and improve production cycle time
Undergraduates of Bachelor's Degree in Engineering, Digital Supply Chain, Software Engineering, Applied AI and/or Computer Science with specialization in Simulation and Root Cause Analysis/Machine Learning & Predictive Analytics, Data Engineering, Data Analytics, Robotics and/or Automation Proficiency in Flexsim, SQL, Python, Excel, Statistics Data Engineering and/or Data Analytics Good knowledge of Oracle DB and Power BI Good understanding of the relationship between technology and business Experience in Flexsim Simulation, Data Engineering and Data Analytics Knowledge in robotics and automation, industry engineering, Lean Six Sigma Exposure to the field of manufacturing, Semiconductor preferred Basic Knowledge on AI/Machine Learning

Must Have:

Undergraduate of Engineering, Digital Supply Chain, Software Engineering, Applied AI and/or Computer Science with specialization in Simulation, Data Engineering, Data Analytics, Robotics and/or Automation Proficiency in Flexsim, SQL, Python, Excel, Oracle DB Good Statistical, Data Engineering and Data Analytics knowledge is preferred Sensitive to data integrity and understand the importance of data quality to generate accurate data analysis Able to create simulation model and dashboard Able to coordinate the entire workflow from concept to full implementation Able to display a structural thought process in analytics, modeling and scenario studies Exposure to industry 4.0 technology/IIoT, AI etc

Nice to have:

Ability to drive operation metrics data accuracy and improvement. Knowledge of Lean, Six Sigma and/or statistical analysis tools Exposure in Manufacturing Industries Basic knowledge on AI/Machine learning 3D model drawing
Personal qualities:

Possess good logical thinking, uses reasoning skills to objectively study problems, make rational conclusions on how to proceed to the next step Good analytical skills with the ability to break down and solve complex problems Patient and able to work independently with adequate supervision Passion for technology and innovation * Fast learner to pick up new knowledge