LILA has created the world's first Operating System for Science powered by Scientific Superintelligence™. Backed by General Catalyst.
About the role
Your role will involve applying computational condensed matter physics and electronic structure expertise to accelerate materials discovery, optimization, and understanding. You will use first-principles modeling, atomistic simulations, scientific machine learning, and agentic AI systems to investigate complex materials with direct relevance to superconductors, quantum materials, or electronic devices.
What they're looking for
- PhD or equivalent experience in Physics, Materials Science, Chemistry, Applied Mathematics, or a related field
- Strong foundation in computational condensed matter physics, electronic structure, or atomistic simulation
- Deep understanding of electronic-structure theory (quantum chemistry, DFT, beyond-DFT methods, etc.) and their application to electronic, magnetic, or quantum materials
- Experience applying first-principles or atomistic methods to materials discovery, optimization, or understanding
- Familiarity with superconductors, quantum materials, electronic materials, semiconductors, or device-relevant materials systems
- Strong programming skills in Python and scientific computing workflows
More about this role
Your role will involve applying computational condensed matter physics and electronic structure expertise to accelerate materials discovery, optimization, and understanding. You will use first-principles modeling, atomistic simulations, scientific machine learning, and agentic AI systems to investigate complex materials with direct relevance to superconductors, quantum materials, or electronic devices.
You will work at the intersection of physics-based simulation, AI/ML, and autonomous scientific workflows. The focus is on using computational insight to identify promising materials, explain structure-property relationships, guide optimization, and help agents reason over simulation and experimental data in scientifically grounded ways.
This is a hands-on research role for someone who can connect deep condensed matter and electronic structure expertise with practical materials discovery impact. You will collaborate with computational scientists, AI researchers, software engineers, and experimental teams to turn simulations, models, and scientific reasoning into actionable hypotheses and discovery workflows.
- Apply computational condensed matter physics to materials discovery and...
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