Development of AI Surrogate Model of FRC Stability Summer Internship

Princeton Plasma Physics Laboratory • Princeton, NJ

7d • $16

About The Position

Develop a fast AI model for FRC stability in respect to n=1 tilt mode, which can be used to guide large scale nonlinear simulations. Use the HYM code at NERSC to perform a parameter scan and calculate growth rates of the tilt instability in field-reversed configurations (FRCs). Use the generated dataset to develop a machine-learning–based surrogate model for predicting the linear stability of FRC equilibria.
A U.S. Department of Energy National Laboratory managed by Princeton University, the Princeton Plasma Physics Laboratory (PPPL) is tackling the world’s toughest science and technology challenges using plasma, the fourth state of matter. With more than 70 years of history, PPPL is a leader in the science and engineering behind the development of fusion energy, a potentially limitless energy source. PPPL is also using its expertise to advance research in the areas of microelectronics, quantum sensors and devices, and sustainability sciences. Whether it be through science, engineering, technology or professional services, every team member has an opportunity to contribute to our mission and vision. Come join us!
Princeton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.
The University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly.
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The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information.
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Requirements

• Undergraduate student.

Responsibilities

• Organize data from simulations, develop a simple surrogate model using several equilibrium parameters as input, and growth rates calculated in linear simulations for AI model training.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed
• Number of Employees: 251-500 employees