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Associate Research Physicist Fusion Flight Simulator (DIII-D)

Job description


Requisition # 2018-9290
Department PPPL ITER and Tokamaks
Category Research and Laboratory
Full-Time / Part-Time Full-Time
Application Deadline

Overview



The Princeton Plasma Physics Laboratory seeks to fill a postdoctoral research position at the DIII-D National Fusion Facility in San Diego, CA. The successful candidate will advance tokamak scenario development and control on the DIII-D tokamak, with the primary focus on developing and applying reduced models for control applications in a fusion flight simulator. The successful candidate will be part of a team integrating the plasma control system into predictive whole discharge models for experimental planning, scenario optimization and control. The appointment will be based in San Diego at the DIII-D national fusion facility.

Responsibilities

The successful candidate will contribute to the development of a fusion flight simulator, in a collaboration between PPPL and the DIII-D National Fusion Facility (San Diego, CA). The flight simulator will use the time-dependent transport solver TRANSP and a plasma control system simulator (Simulink®) to evolve a tokamak plasma discharges under the effects of external actuators. The work includes developing fast reduced models for magnetic equilibrium, heating and current drive sources using neural networks and machine learning methods. We are looking for a highly motivated scientist, a team player and an excellent communicator who will collaborate closely with the onsite team at DIII-D and with PPPL researchers to develop and successfully apply the fusion flight simulator for experimental design. The position is at the post-doctoral level.



The successful candidate will be based in San Diego and is expected to travel regularly to PPPL and to other national and international facilities for joint experiments, workshops and conferences.

Qualifications

Applicant should have a Ph.D. in plasma physics or in control engineering. Preference will be given to candidates with experience in tokamak physics and control applications. Familiarity with time-dependent simulations, including control-oriented solvers, is highly desirable. Experience with machine learning, control algorithm design, and real-time algorithm implementation is a plus. Experience with the General Atomics Plasma Control System software is desirable but not essential.

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

Estimated Appointment End Date

11/1/2021

Physical Capacity Exam Required

No

Valid Driver's License Required

No



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Princeton University/Princeton Plasma Physics Laboratory 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

Princeton University/Princeton Plasma Physics Laboratory job offers are contingent upon the candidate's successful completion of a background check, reference checks, and pre-employment screening, as applicable. The type and extent of background check, reference checks, and pre-employment screening may vary depending on the requirements and/or functions of the job and the candidate's current employment status with Princeton University/Princeton Plasma Physics Laboratory.

Princeton University/Princeton Plasma Physics Laboratory is a residential community and an employer that operates continuously 24 hours a day. Essential services employees perform jobs that are necessary and required to maintain basic University operations during scheduled closures or unscheduled suspension of normal operations due to emergencies, events, or other situations. Essential services employees may be asked and/or required to perform jobs or duties that fall outside of their normal job classification during an emergency event. Learn more about our Essential Services policy.

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Job No:
Posted: 9/13/2018
Application Due: 11/12/2018
Work Type:
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