Computational Materials Scientist - AI Trainer
Core
Train AI models using simulation data from DFT, molecular dynamics, or Monte Carlo methods for property prediction and materials discovery.
Role type
Contract AI Trainer (Computational Materials Science)
Builds
Expert datasets and experiments for AI research in computational materials
Domain
Computational Materials Science / Machine Learning
Deliverable
production ML models
Required skills
Machine learning, DFT, force fields, atomistic simulation, materials informatics, supervised/unsupervised learning
Preferred skills
CGCNN, MatGL, M3GNet, ALIGNN, VASP, Quantum ESPRESSO, LAMMPS, ASE, computational science teaching
Technologies
AI Machine Learning
Responsibilities
Build, train, and evaluate models using simulation data; apply learning techniques to property prediction; connect workflows with high-throughput pipelines; document methods for reproducibility
Seniority
Individual Contributor, Project-based