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Associate Research Physicist

Job description


Requisition # 2018-9567
Department PPPL Theory
Category Research and Laboratory
Full-Time / Part-Time Full-Time
Application Deadline

Overview

Princeton Plasma Physics Laboratory seeks to fill a theoretical postdoctoral research position focusing on applying machine learning (ML) and data analytic techniques to extreme-scale physics simulations run on high-performance computers. The large data sets generated by these simulations require new ways to handle and analyze in order to maximize the insight gained. Additionally, code acceleration and workflow automation/optimization are constant goals. Machine learning and associated algorithms hold promise to contribute to these goals. This postdoctoral position may research various applications of ML to codes in the High-Performance Boundary Plasma Simulation (HBPS) SciDAC project, including: optimization of input parameters, generative models for turbulence data in transport-scale simulations, preconditioner tuning, object recognition (e.g. blob detection/tracking), unsupervised pattern and structure discovery, etc.

Responsibilities

The ideal candidate will have a strong applied mathematics and computational background. Strong coding skills in languages such as Fortran and Python are highly recommended. Previous experience applying machine learning to research problems is encouraged. Experience with magnetic confinement fusion theory or experiment is a plus. Ph.D. degree in physics, mathematics, computer science or in engineering is required.

Qualifications

Qualified applicants should apply at www.pppl.gov and send a curriculum vitae and bibliography, and arrange to have at least two letters of recommendation sent as soon as possible for full consideration.

Letters can be mailed to Dr. C.S. Chang, Princeton Plasma Physics Laboratory, James Forrestal Campus, P.O. Box 451, Princeton, NJ 08543 or emailed to [email protected]

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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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: 11/7/2018
Application Due: 1/6/2019
Work Type:
Salary: