Multiphysics Simulation Scientist
Multiphysics Simulation Scientist
Multiphysics Simulation Scientist
Periodic Labs
Periodic Labs is seeking an experienced Multiphysics Simulation Scientist/Engineer to develop, execute, and integrate high-fidelity simulations of experimental systems, linking materials processes, thermal and mechanical environments, and electrical/magnetic behavior with AI-driven R&D pipelines. The role focuses on creating digital twins, enabling real-time AI feedback loops, and generating ML-ready simulation data to accelerate discovery.
Qualification
- 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).
- Deep understanding of coupled physical processes; such as heat transfer, stress, diffusion, plasma/fluid flow, electromagnetism.
- Strong coding skills in Python.
- Experience applying multiphysics models to electronics, automotive, aerospace, or chemical manufacturing industries.
- Bonus: Experience modeling thin-film deposition phenomena and chemical reactions.
- Bonus: Familiarity with machine learning approaches relevant to multiphysics models.
- Bonus: Comfortable working across disciplines with engineers, scientists, and ML researchers.
- Bonus: Multiscale modeling.
Responsibility
- Build and apply multiphysics models for thermal, mechanical, electromagnetic, plasma, fluid flow, and chemical phenomena.
- Interface simulations with orchestration systems and data infrastructure to enable real-time digital twins and AI feedback loops.
- Produce diverse simulated datasets for ML training and reinforcement learning environments.
- Validate, calibrate, and benchmark models against experimental data; perform sensitivity and uncertainty analyses.
- Integrate simulation outputs into AI-driven R&D pipelines to support optimization and decision-making.
- Collaborate with computational, AI, automation, process, and facilities teams to optimize R&D processes.
- Develop and maintain reusable simulation workflows, tooling, and documentation to ensure reproducibility.
- Contribute to cross-disciplinary initiatives and mentor junior researchers.
