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Internship - Physics-Based AI/ML Modelling

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Quick Summary

Key Responsibilities

Develop a dashboard (GUI) to automate the process flow. Data Analysis & Consolidation: Analyze and consolidate simulation and experimental results for AI/ML model training.

Requirements Summary

On track to attain a Master's degree in Mechanical Engineering or an equivalent field. Personal Attributes: Self-driven, with strong analytical ability and problem-solving skills.

Technical Tools
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Join us and be part of the package simulation team, which uses physics-based simulation software such as Ansys WB and LS-DYNA. Numerous sets of simulation and experimental results have been generated from past work, and these datasets could be useful for assessing new designs with suitable physics-based AI/ML models. Your role is to evaluate and compare several such AI/ML models and approaches, and provide your assessment and recommendation to the team. Your role Key responsibilities in your new role Dashboard (GUI) Development: Develop a dashboard (GUI) to automate the process flow. Data Analysis & Consolidation: Analyze and consolidate simulation and experimental results for AI/ML model training. Script Development: Develop scripts to process data and output it in the format required by the AI/ML models. Model Evaluation: Evaluate and compare different physics-based AI/ML software and models. Internship Learning Outcomes: Package Development Knowledge: Gain an understanding of the package development process. Finite Element Analysis: Learn how finite element analysis is used in the package development process. AI/ML Application: Apply AI/ML approaches in finite element analysis. AI/ML Tool Familiarity: Familiarize yourself with AI/ML software and models. Your profile Qualifications and skills to help you succeed  Education: On track to attain a Master's degree in Mechanical Engineering or an equivalent field. Personal Attributes: Self-driven, with strong analytical ability and problem-solving skills. Resourcefulness: Resourceful in finding relevant information to support projects. Hands-on Experience: Hands-on experience with Ansys, MATLAB, Python, and Visual Basic. Preferred commitment: More than 4 months #WeAreIn for driving decarbonization and digitalization. As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener. Are you in? We are on a journey to create the best Infineon for everyone. We strive to create the best Infineon for everyone by embracing diversity and inclusion. We welcome applicants for who they are and offer a workplace built on trust, openness, respect and equal opportunity.  Our hiring decisions are based on skills and experience. Even if you don’t meet every requirement, we encourage you to apply. Please let your recruiter know if you need any accommodations during the interview process. Learn more about our various contact channels and about Diversity & Inclusion at Infineon. Lau Yu Qin

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Where is the job
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About this job

Posted
Today
Employer
has 37 open jobs on Jobera.

Listing Details

Posted
November 10, 2026
First seen
November 10, 2026
Last seen
November 10, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
56%
Scored at
November 10, 2026

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Internship - Physics-Based AI/ML Modelling