USD per year
Multiphysics Simulation Scientist
Periodic Labs is an AI + physical sciences lab focused on building state-of-the-art models to enable novel scientific discoveries. The company is well funded, growing rapidly, and values team members who take ownership and solve problems without bureaucracy. The team eagerly learns new tools and science to advance their mission. The role of Multiphysics Simulation Scientist involves joining a world-class team of scientists and engineers working at the intersection of AI and physical R&D. The position focuses on developing, executing, and integrating high-fidelity physical simulations of experimental systems. These simulations link materials processes, thermal/mechanical environments, and electrical/magnetic behavior with AI-driven R&D pipelines. Key responsibilities include:
- Building and applying multiphysics models for processes such as thermal, mechanical, electromagnetic, plasma, fluid flow, and chemical reactions.
- Interfacing simulations with orchestration systems and data infrastructure to enable real-time digital twins and AI feedback loops.
- Producing diverse simulated datasets for machine learning training and reinforcement learning environments.
- Collaborating with computational, AI, automation, process, and facilities teams to optimize R&D processes.
Qualifications:
- PhD or MS in Mechanical, Chemical, Materials, or Aerospace Engineering or related discipline.
- 5+ years hands-on experience with multiphysics modeling tools (e.g., COMSOL, ANSYS) solving real-world problems in electronics automotive aerospace or chemical manufacturing industries.
- Deep understanding of coupled physical processes such as heat transfer stress diffusion plasma/fluid flow electromagnetism etc.
- Strong coding skills in Python.
Bonus Qualifications:
- Experience modeling thin-film deposition related phenomena and chemical reactions.
- Familiarity with machine learning approaches relevant to multiphysics models.
- Comfortable working across disciplines with engineers scientists ML researchers.
- Multiscale modeling.
Periodic Labs aims to create an AI scientist and autonomous laboratories for them to operate, focusing on accelerating science in the physical sciences. They build AI scientists and autonomous labs to generate high-quality experimental data, enabling new scientific discoveries and applications such as discovering higher-temperature superconductors and aiding semiconductor manufacturers.
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