Pacific Northwest National Laboratory Post Doctorate RA - Applied Mathematician in RICHLAND, Washington
Organization and Job ID
Job ID: 311873
Directorate: National Security
Division: Signature Science and Technology
The Disruptive Technology group focuses on emerging technologies by integrating capability across electromagnetics, systems modeling, communications, analytics development, and systems design to serve as a flywheel for feeding technology advancements across the division and laboratory. Projects within the group range from mission focused, highly applied projects in support of national security to fundamental science projects.
The DT group is seeking a recent graduate Applied Mathematician to contribute to research and development on the modeling of hot, dense plasmas using computational simulation. The work will include exposure to and an opportunity to learn a diverse set of skills as required by project tasks from evaluation of modeling methods at multiple length/time scales, evaluation of new fundamental behaviors, and integration with experimental measurements. The successful candidate should have a desire to perform research and / or execute applied projects or programs.
Staff at PNNL employ diverse methods to confront significant problems of national interest. The successful candidate will have a strong work ethic with a mindset for continuous improvement.
The incumbent will work as a technical contributor under the guidance of senior scientists and engineers, and will be responsible for performing the following technical tasks with the level of quality, timeliness, and cost, to meet required project and sponsor expectations:
- Research and Development on plasma simulation considering multiple techniques such as Kohn-Sham density functional theory molecular dynamics, orbital-free molecular dynamics, path integral Monte Carlo, particle-in-cell methods or Green’s function-based approaches
In addition to high-quality support for clients (both internal and external), a critical part of the position is the ability to quickly and effectively develop and demonstrate skills and abilities that will lead to growth in responsibilities and career progression.
Candidates must have received a PhD within the past five years (60 months) or within the next 8 months from an accredited college or university.
A self-starter with a continuous improvement mindset and a willingness to grow technically as well as professionally
Understanding of the mathematics of the modeling of plasmas
Strong skills in the application of the numerical solution to partial differential equations, Green’s functions and mathematical optimization methods
Programming experience (e.g., C/C++ (preferred), FORTRAN (preferred), or Python)
Ability to quickly learn and apply a diverse set of technical skills as required by the task
Working knowledge in one or several related skill sets such as:
Machine learning approaches to applied physics problems
Doctoral Degree in Mathematics, or a related field with an emphasis on the use of applied mathematics for physics-based problems.
Equal Employment Opportunity
Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at jobs.pnnl.gov.
If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via https://jobs.pnnl.gov/help.stm
Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a “country of risk” without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.
This position requires the ability to obtain and maintain a federal security clearance.
Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance 10 CFR 710, Appendix B.
Drug Testing: All Security Clearance (L or Q) positions will be considered by the Department of Energy to be Testing Designated Positions which means that they are subject to applicant, random, and for cause drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).
Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy until non-use of illegal drugs, including marijuana, for 12 consecutive months can be demonstrated.
Directorate: National Security
Job Category: Post-Graduates and Post-Docs
Group: Disruptive Technology
Opening Date: 2021-03-29
Closing Date: 2021-04-12