Research Scientist, Computational Condensed Matter Physics

What you'll do

• Use electronic-structure and atomistic simulation methods to investigate materials and connect computational results with experiments.
• Build predictive models and analyze computational and experimental data to guide materials selection, optimization, and actionable hypotheses.
• Collaborate across computational science, AI, software, and experimental teams on discovery workflows; communicate insights and model limitations.

What they ask 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, including electronic-structure theory and its applications.
• Experience applying first-principles or atomistic methods to materials discovery, optimization, or understanding.
• Strong programming skills in Python and scientific computing workflows.

Nice to have

• Experience with amorphous materials, vibrational-property calculations, or advanced electronic-structure methods.
• Experience applying AI/ML to computational materials science, or familiarity with agentic AI and autonomous scientific workflows.

Pay

$176,000 — $304,000 USD (base salary)

Tools

Python, DFT

AI focus

Applies scientific machine learning and agentic AI systems to materials research, predictive modeling, and autonomous scientific workflows; supports agents in reasoning over simulation and experimental data.