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2026 New College Grad - Computational Chemist / Materials Scientist (Machine Learning – Reactive MLIPs) - Doctorate Degree

Santa Clara,CA, United States

USD 138K-190K None Full Time

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Found 1d ago
Tasks
Perks/Benefits
Skills/Tech-stack

ASE | Active Learning | AiiDA | Atomistic modeling | Bayesian Methods | DeepMD | Density Functional Theory | Equivariant Neural Networks | Fireworks | First Principles Methods | First principles | GAP | Graph Neural Networks | High Performance | High-Performance Computing | Interatomic potentials | LAMMPS | MACE | Machine Learned Interatomic Potentials | Machine Learning | Metadynamics | Molecular Dynamics | NEB | NequIP | Neural Networks | Performance Computing | PyTorch | Python | Reactive Machine Learned Interatomic Potentials | SNAP | TensorFlow | Uncertainty Quantification | VASP

Education

PhD

Roles

Computational Materials Scientist | Materials Scientist | Scientist

Regions

North America

Countries

United States

States

California, US

Cities

Santa Clara, California, US

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