Computational Plasma Physicist – Transport Modeling

Thea Energy•Kearny, NJ

2d•$100,000 - $140,000

About The Position

Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future.

Requirements

PhD in Plasma Physics, Computational Physics, Applied Mathematics, or a related field. (Candidates with a Master’s degree and 3+ years of direct experience in transport/turbulence modeling will be considered).
Strong understanding of gyrokinetic theory and transport processes.
Expertise in developing scientific simulation codes using Python, C++, or Fortran.
Proven experience working in Linux-based HPC environments with a focus on code scalability and performance.
Ability to manage complex projects from theory to implementation with minimal supervision.
A passion for fusion energy and a desire to work in a fast-paced, collaborative startup environment.
Rigorous approach to code verification and physics validation.

Nice To Haves

Direct experience running core (e.g. GENE, stella, CGYRO, GX) and/or edge (GENE-X, XGC, Gkeyll) gyrokinetic codes.
Experience with stellarator-specific equilibrium and stability codes such as VMEC, STELLOPT, DESC, and/or TERPSICHORE.
Familiarity with advanced numerical methods, GPU programming, and/or developing surrogate/reduced models.
A track record of peer-reviewed publications and the ability to present complex physics to multi-disciplinary engineering teams.

Responsibilities

Perform/analyze integrated modeling simulations to predict performance and develop scenarios for Thea Energy’s Eos and Helios stellarators.
Utilize gyrokinetic, fluid, and/or reduced transport solvers to provide projections of confinement, heat, particle, and momentum transport.
Maintain and extend existing gyrokinetic and transport frameworks.
Build reproducible simulation pipelines and data analysis tools to streamline the design-to-validation loop.
Use insights from turbulence and transport analysis to guide equilibrium and coil optimization.
Collaborate with the physics and engineering team to develop scenarios and interpret results from current hardware.