Stellarator Research Intern - Fall 2026 (On-site)

Fusion Energy Base

Kearny (NJ)

On-site

USD 25,000 - 41,000

Full time

14 days+
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Benefits offered by this job

Compensation: $18-25/hr Undergraduate
Compensation: $26-30/hr Post-graduate

Job summary

Thea Energy in Kearny, NJ invites motivated students to join as a Physics Intern for Fall 2026. You will work under a senior physicist mentor on a dedicated project in stellarator optimization, data analysis, and simulations to advance fusion engineering.

The internship emphasizes practical lab work and cross-functional collaboration with mechanical and electrical engineers. Ideal candidates are pursuing undergraduate, masters, or PhD degrees with experience in plasma physics topics, Python

Qualifications

  • Candidates may be pursuing undergraduate, masters, or PhD degrees.
  • Experience in at least one of the listed physics areas (plasma modeling, stellarator/coil optimization, plasma control).
  • Willing to work on-site in Kearny, NJ and collaborate with cross-functional teams.

Responsibilities

  • Take ownership of a dedicated research project under a senior physicist mentor.
  • Conduct literature reviews to guide initial project specifications.
  • Run simulations or analyze data to inform the stellarator design.
  • Present findings to the broader technical team at internship conclusion.

Skills

Plasma modeling
Stellarator optimization
Plasma control
Machine learning
Data science
Python
Git
Monte Carlo methods
Neutron transport

Education

Pursuing undergraduate, masters, or PhD

Tools

Python
Git
High-performance computing
Scientific computing
Monte Carlo methods

Job description

Thea Energy in Kearny, NJ invites motivated students to join as a Physics Intern for Fall 2026. You will work under a senior physicist mentor on a dedicated project in stellarator optimization, data analysis, and simulations to advance fusion engineering.

The internship emphasizes practical lab work and cross-functional collaboration with mechanical and electrical engineers. Ideal candidates are pursuing undergraduate, masters, or PhD degrees with experience in plasma physics topics, Python

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