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Computational Plasma Physicist

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Date: Nov 9, 2020

Location: Oak Ridge, TN, US, 37830

Company: Oak Ridge National Laboratory

Requisition Id 4233 

Description of job: The Fusion Energy Division at the Oak Ridge National Laboratory (ORNL) seeks applications for a R&D Associate Staff Member in the area of Computational Plasma Physics and Machine Learning. ORNL’s Plasma Theory and Modeling Group carries out research in nearly all areas of magnetic fusion energy development and related technology development. The program is a strong and vital component of both the U.S. fusion program and the international fusion community. The successful candidate will work with a multidisciplinary team of theoretical, computational and experimental physicists in the area of boundary transport, with applications to a range of devices, including the DIII-D (San Diego, CA) and NSTX-U (Princeton, NJ) tokamaks.  The work assignment will be located at ORNL in Oak Ridge, Tennessee.

 

Job Duties and Responsibilities: The successful candidate will be involved in both developing new and applying existing models and simulation tools to understand edge plasma dynamics, with a focus on the application of machine learning methods to aid in the understanding and control of the interaction between the boundary plasma, plasma-facing materials and core performance. This includes developing and applying reduced models for plasma transport in the scrape-off layer, (SOL) and divertor and their interaction with material surfaces. A long-term goal is to develop fully consistent scenarios for the edge plasma and surrounding materials that meet requirements on both plasma-facing component lifetime and plasma confinement. The candidate will be expected to work independently, collaborate with experimentalists, fully document work in technical reports and publications, and participate in the development of research proposals.

 

Experience and Educational Requirements

The successful candidate must have completed a Ph.D. in Plasma Physics or a closely related field. The applicant is expected to have more than 2 years of experience in the physics of toroidal confinement devices and computational physics. It is required for candidates to have experience in the application of complex scientific codes and familiarity with data analysis methods for fusion. Experience in both analytical theory and computational physics is desirable, as demonstrated expertise in machine learning and data driven methods. Excellent verbal, presentation, and writing skills are required to enable effective interaction and communication with technical peers, program managers, collaborators, and sponsors. These should be evidenced by a proven publication record. This position is a permanent, full-time assignment.

Equal Opportunity Employer.

 

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.


If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.


ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply.  UT-Battelle is an E-Verify employer.


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