Periodic Labs

Multiphysics Simulation Scientist

Periodic Labs(2 months ago)

Menlo Park, CAOnsiteFull TimeSenior$176,917 - $238,474 (estimated)Atoms: Lab, physics, chemistry, etc.
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About this role

The Multiphysics Simulation Scientist at Periodic Labs is responsible for developing and integrating high-fidelity physical simulations of experimental systems, addressing a variety of phenomena including thermal, mechanical, electromagnetic, and chemical processes. This role involves creating multiphysics models, producing simulated datasets for machine learning, and collaborating with cross-functional teams to enhance R&D efficiency. Candidates should possess a relevant advanced degree, extensive experience with multiphysics modeling tools, strong coding skills in Python, and a deep understanding of coupled physical processes.

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Required Skills

  • Multiphysics Modeling
  • Simulation Development
  • Real-Time Integration
  • Data Infrastructure
  • Simulated Datasets
  • Collaboration
  • AI Feedback Loops
  • Coding Skills
  • Heat Transfer
  • Stress Analysis

+5 more

Qualifications

  • PhD or MS in Mechanical, Chemical, Materials, or Aerospace Engineering, or a related discipline
  • 5+ years of hands-on experience with multiphysics modeling tools (e.g., COMSOL, ANSYS, or other finite-element / finite-volume solvers)
Periodic Labs

About Periodic Labs

periodic.com

Periodic Labs is an artificial intelligence research company dedicated to transforming scientific discovery by leveraging machine learning and experimental methods. Their mission centers on the belief that true understanding of the universe can only be achieved through direct interaction and experimentation with it. The company focuses on developing AI scientists and autonomous labs, generating unique datasets from these experiments to facilitate groundbreaking research in the physical sciences. With a team that includes prominent figures in AI and materials science, Periodic Labs aims to accelerate innovation and push the boundaries of scientific knowledge.

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