Tech Stack

Description

You will work on building structure-property relationships for accelerated materials discovery, preparing datasets and workflows for AI projects in advanced semiconductor research. You'll gain hands-on experience with Python, DFT simulations, and data-driven modeling.

Requirements

• Master’s student or PhD candidate in Materials Science, Chemical Engineering, or related field
• Experience with DFT simulations
• Hands-on experience with Python and Jupyter notebooks
• Understanding of Python ML scientific libraries
• Strong analytical skills and interest in computational chemistry

Responsibilities

• Import or build bulk structures for ALD-relevant systems
• Collect and organize literature data for electronic and physical properties
• Data pre-processing and feature engineering/extraction
• Perform descriptor calculations and analyze correlations with target properties
• Develop and refine predictive models for property estimation