Internship - Failure Analysis (AI Modelling and Digitalisation)

Infineon Technologies AG; Singapore; On-site; SGD 33,480 - 44,640; Full time

Job summary

Infineon Technologies AG in Singapore is seeking an intern for the Failure Analysis team to automate job labeling processes using AI and ML technologies. The role involves understanding various failure modes and creating programming solutions to enhance the Virtual Failure Analysis process.

Ideal candidates should have an educational background in Artificial Intelligence or related fields, proficiency in programming, and a dynamic approach to learning. Join us to gain valuable industry experience and insights into digital transformations in failure analysis.

Qualifications

• Strong background in AI and ML with relevant programming experience.
• Knowledge in large language models.
• Ability to adapt and learn different processes.

Responsibilities

• Understand and catalog various failure modes and mechanisms.
• Create programming for job labeling process automation.
• Develop user interfaces for improved man-machine interaction.

Skills

Programming proficiency (Python, Jupyter Notebook)

Knowledge in Artificial Intelligence and Machine Learning

Adaptability and learning agility

Education

Undergrad or master in Artificial Intelligence / Computer Engineering / Data Science / Information System / EE / EEE

Job description

The student will be in Failure Analysis (FA) team to undertake and automate FA jobs labelling for cases with different failure modes and hypothesis to enhance Virtual Failure Analysis (VFA) process through AIML development, inclusive leverage ways of large language model.

Job Description

• Process Understanding: Understand Failure Analysis process, catalogues and various failure modes / mechanism.
• Tool Application: Understand VFA flow and apply different tools (search engines, RPA).
• Automation Development: Create programming to automate job labelling process.
• Customization: Customize job labelling process for different FA groups.
• Classification: Catergorize failure mode through AIML classification.
• Interface Design: Develop user interface to facilitate Man-machine interaction for above items.
• Deployment Collaboration: To collaborate with IT to deploy end user coded App into operational database.

Internship Learning Outcomes

• Knowledge Acquisition: Gain knowledge on FA process, failure modes and classification.
• Digital Transformation Insight: Good understanding of future digitalization in FA with Virtual Failure Analysis process and job labelling.
• Tool Exposure: Exposure to use of search engine for topic consolidation, cumulative learning of FA insights.
• Application Development: Develop end user APP for digital automation of FA processes.
• Skill Building: Project management skill. Career Advancement: Gain industry working experience to ease future career.

Your profile

• Educational Background: Undergrad or master in Artificial Intelligent (AI engineering) / Computer Engineering / Data science / Information System / EE / EEE with relevant AI oriented mindset.
• Programming Proficiency: Knowledge in Language programming (eg. Python, Jupiter Notebook) AI & ML.
• Expertise: Knowledge in Artificial Intelligent Machine Learning, Large Language Model (LLM).
• Adaptability & Learning Agility: Interactive and dynamic in learning different failure analysis process flow.

Contact

Hillary Woo

We embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills.