Research Scientist, Computational Condensed Matter Physics
Core
Apply computational condensed matter physics and electronic structure expertise to accelerate materials discovery, optimization, and understanding of superconductors, quantum materials, and electronic devices.
Role type
Research Scientist, Computational Condensed Matter Physics
Builds
Predictive models, simulation workflows, and actionable materials hypotheses
Domain
Materials Science / Computational Physics / AI for Science
Deliverable
production ML models | research
Required skills
Computational condensed matter physics, Electronic structure theory (DFT, beyond-DFT), Atomistic simulation, First-principles modeling, Python programming, Scientific computing workflows
Preferred skills
Amorphous materials analysis, Vibrational properties calculations, AI/ML for materials science, Agentic AI systems, Closed-loop optimization workflows
Technologies
Python, DFT, Quantum chemistry tools
Responsibilities
Apply computational physics methods to study quantum materials and superconductors, Connect simulation outputs to experimental observations, Build predictive models from computational and experimental data, Analyze data to generate actionable materials hypotheses, Partner with ML and experimental teams on discovery workflows, Communicate physical insights and model limitations to collaborators
Seniority
Senior, hands-on IC