Periodic Labs is looking to solve problems in physics research by building state-of-the-art models to make novel scientific discoveries using AI, theory, and automation.
Requirements
- Deep expertise in relating theoretical models to real materials and experiments.
- Experience with running first principles calculations like density functional theory on realistic systems.
- Experience with deep learning, including but not limited to graph neural networks.
- Experience in modeling superconductivity and/or magnetism.
Responsibilities
- Using theoretical modeling to connect first-principles calculations and experiments.
- Collaborate with computational and experimental scientists and ML researchers.
Other
- PhD in formal condensed matter theory for quantum materials.
