About this Computational Plasma Physicist – Transport Modeling role at Thea Energy
Key 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.
Required Experience & Skillsets:
- 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.
- 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.
- 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.
Preferred Skills:
Personal Attributes: