Computational Plasma Physics Intern

The planet urgently needs safe, reliable, zero-carbon energy without waste. Nuclear fusion can address the scale of this problem, but for decades, existing fusion approaches have not proven a net positive energy gain. Zap Energy has rethought the fundamental technology of fusion. As the only company using sheared-flow-stabilized Z-pinch, we present potentially the fastest path to commercially available fusion energy.

The Theory & Modeling team at Zap Energy is seeking a motivated intern to support the refinement of our computational modeling tools for plasma physics. This role is ideal for MS or PhD candidates with a strong background in computational plasma physics, applied mathematics, or high-performance computing.

You will contribute to core code development efforts that enhance the realism, efficiency, and scientific fidelity of our modeling frameworks. As an intern, you will help us push forward key improvements that will directly impact fusion research and simulation capability.

Potential Projects Include:

• Implementing super-timestepping techniques (e.g., Alexiades CNME 1996, Meyer JCP 2014) to improve parallel thermal conduction modeling.
• Developing curved cell edge representations to enhance accuracy in cylindrical or complex curved geometries.
• Developing an implicit electron model in Vlasov-Maxwell simulations to dramatically reduce resource requirements.

What You’ll Gain:

• Hands-on experience with cutting-edge plasma physics simulation tools.
• The opportunity to work on impactful problems in the field of fusion energy research.
• Mentorship from experienced scientists in computational physics and HPC.

Qualifications:

• Currently enrolled in an MS or PhD program in Computational Plasma Physics, Computer Science, Applied Mathematics, or a related field.
• Experience with numerical methods and high-performance computing.
• Familiarity with parallel computing, memory optimization, or kinetic plasma models is a plus.