Fusion Physics Simulation Data Scientist

Fusion Energy Base

San Leandro (CA)

On-site

USD 150,000 - 210,000

Full time

8 days ago

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Benefits offered by this job

Relocation assistance
Flexible time off
Paid time off end of year
Supportive leave policies

Job summary

Fuse is seeking a theoretical/computational physicist to build and optimize in-house simulation stacks for pulsed-power fusion devices. You will develop models predicting machine behavior and extract physics from shot data, moving beyond simple curve fitting to actionable, physics-based insights.

The role requires deep expertise in magnetohydrodynamics, radiation transport, and Bayesian inference, with production-grade Python and optional C++/Fortran performance enhancements.

Qualifications

  • PhD in Physics, Applied Math, Plasma Physics, or related field.
  • Strong publication record for Master’s candidate considered.
  • Deep knowledge of magnetohydrodynamics, radiation transport, or pulsed-power modeling.

Responsibilities

  • Build a coupled simulation framework for DPF-related physics.
  • Implement radiation source-term models and spectra.
  • Develop surrogate and reduced-order models for parameter sweeps.
  • Create data pipelines for diagnostic streams and outputs.
  • Quantify uncertainty with Bayesian inference and error bars.
  • Model electrode aging and capacitor-bank aging to inform operations.

Skills

Python coding
Bayesian statistics
Numerical methods
PDEs
Tensor calculus

Education

PhD in Physics
Master's with publications

Tools

NumPy/SciPy
JAX
PyTorch
C++/Fortran

Job description

Fuse is seeking a theoretical/computational physicist to build and optimize in-house simulation stacks for pulsed-power fusion devices. You will develop models predicting machine behavior and extract physics from shot data, moving beyond simple curve fitting to actionable, physics-based insights.

The role requires deep expertise in magnetohydrodynamics, radiation transport, and Bayesian inference, with production-grade Python and optional C++/Fortran performance enhancements.

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