At a glance

The student, as part of the Engineering- Application & System team and under the guidance of an assigned mentor, will undertake projects working on Infineon’s flagship machine learning and data analytics.

Quick info

Location Singapore
Entry level Internship
Job ID 38882
Start Sep 30, 2019
Type Full time
Contract Temporary

Job description

In your new role you will:
  • Manage data analysis and machine learning model application for false alarm reduction in Abnormality Trigger Project
  • Learn and employ machine learning models to support Auto disposition of Lots of Hold and Yield Modelling projects
  • Assist key functions in the application of machine learning methods that involve Decision Tree, Bayesian model and K mean clustering
  • Be involved in other backend data and analytics projects 
Learning outcomes:
  • Understand the main steps of back-end assembly packaging process, back-end final test production procedures and the subsequent data post-processing
  • Learn the concept and application of Machine learning for back-end assembly and final test 
  • Gain knowledge on the concept and application of statistical methods for back-end 
  • Acquire know-how in programming languages through intensive use of batch programming, R, Python and XML language to program a data analysis tool
  • Enhance communication skills through interaction with international colleagues


You are best equipped for this task if you have:
  • On track to attain a Bachelor’s or Master’s degree in Electrical/Electronic Engineering, Computer Engineering/Science or Information Technology, Data Science and Analytics 
  • Know-how in machine learning and programming languages preferred: R, Python and XML
  • Motivated to learn and pick up new knowledge
  • This is a minimum 6 months internship opportunity 

About Us

Part of your life. Part of tomorrow.

We make life easier, safer and greener – with technology that achieves more, consumes less and is accessible to everyone. Microelectronics from Infineon is the key to a better future. Efficient use of energy, environmentally-friendly mobility and security in a connected world – we solve some of the most critical challenges that our society faces while taking a conscientious approach to the use of natural resources.

What we offer you in Singapore

Singapore is our regional headquarter for Asia-Pacific and consists of production, research & development, sales & marketing, supply chain and many central functions.

Find out more about our location Singapore