Computational Physicist

Type One Energy Group•Madison, WI

5d•Hybrid

About The Position

Type One Energy is seeking Computational Physicists to contribute to the development of high-fidelity models and simulations supporting stellarator design and operation. These roles will focus on predictive modeling of plasma behavior across core, edge, and boundary regions, enabling data-driven design decisions and advancing fusion performance. This is an opportunity to work at the intersection of theory, simulation, and engineering, contributing directly to the realization of commercial fusion energy. You will work closely with Engineers and Scientists.

Requirements

PhD in Plasma Physics, Computational Physics, Nuclear Engineering, or a related field
Strong background in plasma physics theory and numerical simulation methods
Experience with one or more of the following: Gyrokinetic simulation codes, MHD equilibrium and stability tools, Edge/divertor modeling simulation code experience, Integrated modeling codes
Proficiency in scientific programming (e.g., Python, C++, Fortran) and high-performance computing (HPC) environments
Experience with data analysis and visualization tools
Demonstrated ability to work in collaborative, multidisciplinary teams

Nice To Haves

Experience with stellarator physics and optimization
Familiarity with core-edge coupling and integrated simulation workflows
Prior involvement in fusion experiments or large-scale simulation projects
Track record of peer-reviewed publications in relevant fields

Responsibilities

Developing and execute integrated modeling frameworks to simulate and predict plasma operational scenarios
Performing plasma profile and fusion performance predictions using gyrokinetic turbulence simulations and reduced models
Contribute to the development and validation of simulation tools for divertor and boundary plasma physics
Support integrated core-edge modeling and analysis to evaluate plasma performance and stability
Model a range of plasma phenomena, including: Neoclassical transport, Energetic particle transport, Plasma-neutral interactions and boundary physics, MHD equilibrium and stability, Pellet fueling, Electron cyclotron heating (ECH)
Collaborate cross-functionally with engineering teams to provide physics-based insights that inform system design and optimization
Analyze simulation outputs and experimental data to validate models and improve predictive capability
Document findings through technical reports, presentations, and peer-reviewed publications