AI for Chemistry Research Scientist Internship

The role

This intern will research and develop industry-specific AI models for chemical and materials R&D. Work includes data acquisition, quality verification, and fine-tuning foundation models for fields like semiconductors, batteries, and bio.

What you will do

• Analyze chemical and materials R&D needs and define AI model development tasks
• Secure, build, and verify data quality for industry-specific model training
• Research fine-tuning and training methods for chemical and materials foundation models
• Research Molecular/Materials Representation Learning, Transfer Learning & Fine-tuning, Graph Neural Networks, Multi-modal Learning, Uncertainty Estimation, and Active Learning

Required qualifications

• Master's or PhD degree in a related field
• Experience in Deep Learning/Machine Learning algorithm research/development
• Interest in connecting chemical/materials problems to AI modeling tasks
• Major in Computer Science, Computational Science, Electronic Engineering, Industrial Engineering, Mechanical Engineering, Chemical Engineering, Materials Engineering, Biotechnology, Physics, Chemistry

Nice to have

• Experience developing prediction/generation models based on molecular, polymer, mixture, or material data
• Experience in foundation model Fine-tuning, transfer learning, or domain adaptation research
• Experience in designing and implementing new ML/DL model architectures and training methodologies

Before you apply

• Document screening
• Coding test & LG Way Fit Test (online personality test)
• Technical interview (online)
• LG AI Research is not a military service designated company, so recruitment and transfer of technical research personnel is not possible

About the company

Materials Intelligence Lab combines latest AI technology with scientific knowledge to innovate chemical and materials research. They research foundation models and autonomous laboratory-based material development platforms.