Computational Plasma Physics Intern

Posted 18 Days Ago
Be an Early Applicant
Everett, WA
Internship
Semiconductor • Energy • Manufacturing
The Role
Support refinement of computational modeling tools for plasma physics as an intern. Contribute to code development and enhance modeling frameworks for fusion research.
Summary Generated by Built In

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 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.

This is an onsite role based in Everett, WA. Start and end dates are flexible according to student schedules.

Top Skills

High-Performance Computing
Kinetic Plasma Models
Numerical Methods
Parallel Computing
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
Everett, Washington
143 Employees
On-site Workplace
Year Founded: 2017

What We Do

Zap Energy is building a seriously cheap, compact, scalable fusion reactor with the potential for a much faster path to commercially viable fusion, without using magnets

Similar Jobs

Everett, WA, USA
143 Employees

ZS Logo ZS

Enterprise Architect

Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Hybrid
10 Locations
13000 Employees
190K-201K Annually

Qualtrics Logo Qualtrics

Enterprise Integrations Engineer II

Artificial Intelligence • Information Technology • Natural Language Processing • Software • Business Intelligence • Generative AI
Seattle, WA, USA
5000 Employees
78K-148K Annually

Two Barrels LLC Logo Two Barrels LLC

Junior Linux Systems Engineer

eCommerce • Legal Tech • Professional Services • Software • Data Privacy
Remote
Hybrid
Spokane, WA, USA
950 Employees
65K-80K Annually

Similar Companies Hiring

Accuris Thumbnail
Software • Manufacturing • Machine Learning • Information Technology • Generative AI • Conversational AI
Denver, CO
1200 Employees
Energy CX Thumbnail
Utilities • Professional Services • Greentech • Financial Services • Energy • Consulting • Business Intelligence
Chicago, IL
55 Employees
InCommodities Thumbnail
Renewable Energy • Machine Learning • Information Technology • Energy • Automation • Analytics
Austin, TX
234 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account