Senior Applied Plasma Data Scientist

What you'll do

• Develop and validate ML frameworks for FRC plasma dynamics and integrate them with simulation tools and experimental diagnostic pipelines.
• Reproduce experimental plasma conditions in modeling workflows and create scripts to analyze and visualize model predictions against experiments.
• Collaborate with physics and engineering experts and communicate results through reports, presentations, and technical visualizations.

What they ask for

• PhD in Physics, Engineering, Applied Math, Computational Science, Machine Learning, or a related field, with emphasis on physics-grounded modeling.
• 3+ years of industry or research-lab experience applying machine learning in experimental, simulation-driven, or scientific R&D environments.
• Expertise with physics-informed or physics-constrained ML methods and experience integrating ML with scientific-computing workflows, simulation tools, or experimental diagnostics.
• Proficiency scripting for data parsing, model analysis, and visualization; familiarity with magnetic diffusion, circuit coupling, or plasma-dynamics modeling in pulsed-power or electromagnetics systems.

Nice to have

• Fortran or HPC exposure.

Pay

$210K – $250K (USD) base salary

Tools

MATLAB, Python, Fortran, HPC, PINNs

AI focus

Develops physics-grounded ML frameworks, including differentiable physics, PINNs, surrogate modeling, and hybrid physics-plus-ML systems, for FRC plasma dynamics and synthetic diagnostics.