Plasma Diagnostics Summer Intern - Fusion Energy

Type One Energy Group

Knoxville (TN)

Sur place

USD 34 000 - 48 000

Plein temps

Il y a 2 jours
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Résumé du poste

Type One Energy Group is seeking a Plasma Diagnostics Summer Intern in Knoxville, TN, to help design and develop plasma diagnostic tools for a new fusion device. You will apply your physics and engineering background to model diagnostics, analyze data, and collaborate with scientists and engineers across disciplines.

The ideal candidate is a senior-level student in physics, engineering physics, optics, electrical engineering, data science, or related fields, with strong Python data analysis

Qualifications

  • Senior-level student pursuing a degree in physics, engineering physics, optics, electrical engineering, data science, astrophysics, or a related field.
  • Rising juniors, seniors, graduate, and PhD students are encouraged to apply.
  • Experience with data analysis in python is required.

Responsabilités

  • Apply physical models and numerical analysis tools to guide the requirements for plasma diagnostics.
  • Collaborate with computational physicists, experimental physicists, and engineers to develop the conceptual design for plasma diagnostics.
  • Develop the data analysis workflow and algorithms to extract physical information from raw instrument data.
  • Build and test physical diagnostic hardware including optical systems and electronic circuits.

Connaissances

Python data analysis
Physics background
Optics
Electrical engineering
Data science
Astrophysics
Remote sensing

Formation

Physics/Engineering-related degree program

Outils

Python
SPICE
Linux
PCB design
Optical system design
Version control

Description du poste

Type One Energy Group is seeking a Plasma Diagnostics Summer Intern in Knoxville, TN, to help design and develop plasma diagnostic tools for a new fusion device. You will apply your physics and engineering background to model diagnostics, analyze data, and collaborate with scientists and engineers across disciplines.

The ideal candidate is a senior-level student in physics, engineering physics, optics, electrical engineering, data science, or related fields, with strong Python data analysis

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