• Associate Research Physicist NTM-Machine Learning

    Requisition # 2018-9183
    Date Posted 1 month ago(1 month ago)
    Department
    PPPL ITER and Tokamaks
    Category
    Research and Laboratory
    Full-Time / Part-Time
    Full-Time
  • Overview

    The study of energetic particle effects on neoclassical tearing modes (NTMs) is a key area of focus in the current SciDAC-4 Center on Integrated Simulation of Energetic Particles (ISEP). Current strong interest in Machine Learning has stimulated motivation to investigate associated implications for developing a statistical model of NTMs as a possible disruption trigger based on machine learning for real time prediction and control.

    Responsibilities

    • Help initiate a process of developing an effective “reduced model” of NTM’s to be integrated into the Machine Learning/Deep Learning workflow for predicting tokamak disruptions.
    • Help improve the physics fidelity of current machine learning models for disruption prediction by inputs from physics-based “reduced” models of NTMs that take into account realistic energetic particle effects in burning plasmas.

     

    Qualifications

    PhD in Astrophysics/Plasma Physics

    • Demonstrated advanced computational skills for scientific discovery (e.g., ability to develop and utilize particle-in-cell codes capable of running on supercomputing systems).
    • Basic programming skills including (preferably) Python.

    Reporting to:  Dr. William Tang [PI of FES-funded 3-year project on “Machine Learning Application to Predictive Studies of Disruptions in Tokamaks] and Co-PI of

    SciDAC-4 Center on Integrated Simulation of Energetic Particles (ISEP)

     

    Princeton University is an Equal Opportunity/Affirmative Action 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. EEO IS THE LAW

    Salary Grade

    RES, 01

    Standard Weekly Hours

    40.00

    Eligible for Overtime

    No

    Benefits Eligible

    Yes

    Essential Services Personnel (see policy for detail)

    No

    Physical Capacity Exam Required

    No

    Valid Driver's License Required

    No

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