ASM is offering an internship in Computational Materials Science for students interested in data analytics and AI-driven discovery, with a focus on semiconductor research. The position emphasizes hands-on experience with Python and DFT simulations, contributing to building structure-property relationships for accelerated materials discovery
Job Summary
This internship focuses on building structure–property relationships for accelerated materials discovery, preparing datasets and workflows for future AI projects in advanced semiconductor research.
Learn how to build and curate a machine-readable materials library and gain experience in computational materials science workflows and data-driven modeling.
Gain hands-on experience in computational materials science and data-driven modeling, with practical skills in Python-based data analysis and AI preparation workflows.
Matching Summary
Match Score: 85
ASM is offering an internship in Computational Materials Science for students interested in data analytics and AI-driven discovery, with a focus on semiconductor research. The position emphasizes hands-on experience with Python and DFT simulations, contributing to building structure-property relationships for accelerated materials discovery.
Skills & Requirements
Must-have
Computational materials science workflows
Python-based data analysis
Jupyter notebooks
DFT calculations
Structure–property relationships
Nice-to-have
Machine learning and artificial intelligence
Python ML scientific libraries
Computational chemistry tools
Key Requirements
Master’s student or PhD candidate
Experience with DFT simulations
Hands-on experience with Python and Jupyter notebooks