Materials Innovation Internship: AI-Driven Polymer Design

Infineon Technologies AG

Singapore

On-site

SGD 13,000 - 27,000

Part time

14 days+

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Job summary

Infineon Technologies AG in Singapore seeks a motivated student to advance polymer materials for electronic packaging as part of the materials innovation team. You will review literature, design and run experiments, and characterize materials, while exploring AI-assisted discovery and development for EMC formulations.

You will work under a mentor, gain hands-on experience with MATLAB and Python, and present technical results to local and global teams.

Qualifications

  • Undergraduate or graduate student in a relevant field, pursuing a degree.
  • Strong foundation in polymer materials or related materials science topics.
  • Experience with literature reviews and experimental design is a plus.

Responsibilities

  • Literature Review: conduct literature review of polymers used in electronic packaging.
  • DOE Planning & Execution: plan and conduct Design of Experiments (DOE).
  • Experimental Investigation: identify and investigate factors in experiments setup.
  • Materials Characterization: perform materials characterization and evaluation.
  • AI Application Exploration: explore AI in material development.
  • Technical Presentations: deliver presentations to local and global teams.
  • Internship Learning Outcomes: capture skills developed during the internship.

Skills

Python
MATLAB
Team collaboration
Independence & Initiative
Analytical thinking

Education

Bachelor’s or Master’s in Computer Science/Computer Engineering/Electrical & Electronic/Material Science/Chemical Engineering

Tools

MATLAB
Python

Job description

Infineon Technologies AG in Singapore seeks a motivated student to advance polymer materials for electronic packaging as part of the materials innovation team. You will review literature, design and run experiments, and characterize materials, while exploring AI-assisted discovery and development for EMC formulations.

You will work under a mentor, gain hands-on experience with MATLAB and Python, and present technical results to local and global teams.

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