Staff Research Scientist

Princeton Plasma Physics LaboratoryPrinceton, NJ
Onsite

About The Position

Princeton Plasma Physics Laboratory (PPPL) has an open position for a research staff scientist to work onsite at PPPL. The candidate will join a dynamic team of scientists with diverse expertise working to advance the application of real-time control systems to experimental fusion systems, including tokamaks and stellarators. The ability to employ AI-enabled solutions and AI-based state estimations, using available diagnostics, will be important elements of this research. The production of high fidelity equilibrium reconstructions for NSTX-U operation, as well as fusion experiments worldwide with which PPPL collaborates, will be an important component of the successful applicant's duties. PPPL, a U.S. Department of Energy National Laboratory managed by Princeton University, 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. Every team member has an opportunity to contribute to our mission and vision.

Requirements

  • Ph.D. in plasma physics, nuclear engineering, or a related field
  • Minimum of two years’ experience after Ph.D.
  • Strong analytical skills
  • Strong English communication skills

Nice To Haves

  • Experience with software packages such as the Position Control System (PCS) which will be employed for real-time plasma control in NSTX-U
  • Experience with equilibrium reconstruction packages such as EFIT and TokaMaker
  • Experience with AI-enabled control of systems

Responsibilities

  • Conducting research and disseminating results in the form of talks, posters, and refereed journal articles, principally related to the development and implementation of control systems.
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