Fusion Physics Intern: Stellarator Research & Modeling

Thea Energy Inc.

Kearny (NJ)

On-site

USD 25,000 - 41,000

Full time

14 days+

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Job summary

Thea Energy Inc. in New Jersey seeks motivated interns to work with our physics team on stellarator research projects.

You will own a dedicated project under mentor guidance, conduct literature reviews, run simulations, and collaborate across engineering disciplines to translate results into actionable design specs. Ideal candidates are pursuing undergraduate, masters, or PhD degrees with interests in plasma physics, computational modeling, and data analysis.

Qualifications

  • Pursuing undergraduate, masters, or PhD degrees.
  • Experience in at least one listed physics area.
  • Experience in scientific computing is a plus.

Responsibilities

  • Take ownership of a dedicated research project guided by a senior physicist mentor.
  • Conduct literature reviews to guide initial project specifications.
  • Run simulations or analyze data to inform stellarator design.
  • Collaborate with cross-functional teams of engineers.
  • Translate physics modeling results into design specifications for reviews.
  • Use project management tools to track tasks and long-term goals.
  • Present findings to the technical team at the end of the internship.

Skills

Plasma physics
Stellarator physics
Computational modeling
Python programming
Machine learning
Data science
Scientific computing
Git version control
High-performance computing

Education

Undergraduate/Masters/PhD candidate

Tools

High-performance computing systems
Monte Carlo simulations

Job description

Thea Energy Inc. in New Jersey seeks motivated interns to work with our physics team on stellarator research projects.

You will own a dedicated project under mentor guidance, conduct literature reviews, run simulations, and collaborate across engineering disciplines to translate results into actionable design specs. Ideal candidates are pursuing undergraduate, masters, or PhD degrees with interests in plasma physics, computational modeling, and data analysis.

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