Research Scientist, Condensed Matter Theory
Periodic Labs
Job Summary
Join a world-class team of scientists and engineers at Periodic Labs, an AI + physical sciences lab, to push the boundaries of physics research. The lab builds state-of-the-art models for novel scientific discoveries, leveraging AI, theory, and automation. As a Research Scientist in Condensed Matter Theory, you will focus on theoretical modeling to connect first-principles calculations and experiments, collaborating with computational, experimental, and ML researchers.
Must Have
- PhD in formal condensed matter theory for quantum materials
- Deep expertise in relating theoretical models to real materials and experiments
Good to Have
- 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
Job Description
Employment Type
Full time
Location Type
Remote
Department
Atoms: Lab, physics, chemistry, etc.
About Periodic Labs
We are an AI + physical sciences lab building state of the art models to make novel scientific discoveries. We are well funded and growing rapidly. Team members are owners who identify and solve problems without boundaries or bureaucracy. We eagerly learn new tools and new science to push forward our mission.
About the Role
Join a world-class team of scientists and engineers pushing the boundaries of physics research in a groundbreaking lab where AI, theory, and automation unlock discoveries at unprecedented speed and scale.
As a Research Scientist in Condensed Matter Theory, you will work on using theoretical modeling to connect first-principles calculations and experiments. You will collaborate with computational and experimental scientists and ML researchers.
Qualifications
- PhD in formal condensed matter theory for quantum materials.
- Deep expertise in relating theoretical models to real materials and experiments.
Bonus Qualifications
- 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.
5 Skills Required For This Role
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