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We have multiple openings for a Postdoctoral Researcher who has a strong computational science background. You will conduct research aimed at constructing an efficient reduced order model for simple/complex physics simulation codes. You will develop and implement model order reduction approaches for hydrodynamics to address performance of the reduced order models in terms of accuracy and speedup. This position is in the Computational Engineering Division (CED) of the Engineering Directorate.
- Conduct research in and development of one or more of the following areas: computational science, numerical methods, reduced order modeling, linear algebra, nonlinear optimization, compression, finite element methods, high-performance computing, and statistics.
- Design, implement, and analyze computational techniques and tools in one or more of the above areas.
- Organize and analyze simulations, and formulate conclusions advancing our knowledge of reduced order modeling.
- Contribute to and actively participate in the conception, design, and execution of research to address defined problems.
- Pursue independent (but complementary) research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory.
- Collaborate with others in a multidisciplinary team environment to accomplish research goals.
- Publish research results in peer-reviewed scientific or technical journals and present results at external conferences seminars and/or technical meetings.
- Perform other duties as assigned.
- Recent PhD in computational science/mechanics or related field.
- Experience in one or more of the following simulation areas: fluid/solid mechanics/heat transfer, finite elements.
- Experience programming in C, C++, FORTRAN, Python, or similar languages.
- Ability to improve physics simulation through development of computational tools and their utilization for advanced modeling of complex phenomenon.
- Experience developing independent research projects, including publication of peer-reviewed literature.
- Proficient verbal and written communication skills to collaborate effectively in a team environment and present and explain technical information.
- Initiative and interpersonal skills and ability to work in a collaborative, multidisciplinary team environment.
- Experience with development of numerical methods.
- Experience with programming in C++ for a high-performance computing environment.
- Experience in Python, Matlab, data parsing/preprocessing tools, and data analysis tools.
- Previous exposure to reduced order modeling and hydrodynamics.
Pre-Employment Drug Test: External applicant(s) selected for this position will be required to pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.
Security Clearance: This position requires a Department of Energy (DOE) Q-level clearance.
If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. In addition, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship. If you hold multiple citizenships (U.S. and another country), you may be required to renounce your non-U.S. citizenship before a DOE L or Q clearance will be processed/granted.
Note: This listing has multiple openings. These are one year Postdoctoral appointment with the possibility of extension to a maximum of three years. Eligible candidates are recent PhDs within five years of the month of the degree award at time of hire date.
Lawrence Livermore National Laboratory (LLNL), located in the San Francisco Bay Area (East Bay), is a premier applied science laboratory that is part of the National Nuclear Security Administration (NNSA) within the Department of Energy (DOE). LLNL's mission is strengthening national security by developing and applying cutting-edge science, technology, and engineering that respond with vision, quality, integrity, and technical excellence to scientific issues of national importance. The Laboratory has a current annual budget of about $2.3 billion, employing approximately 6,900 employees.
LLNL is an affirmative action/ equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, protected veteran status, age, citizenship, or any other characteristic protected by law.