Computational Scientist - Postdoctoral Researcher

Company Description

Join us and make YOUR mark on the World!

Are you interested in joining some of the brightest talent in the world to strengthen the United States’ security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.

We are committed to a diverse and equitable workforce with an inclusive culture that values and celebrates the diversity of our people, talents, ideas, experiences, and perspectives. This is important for continued success of the Laboratory’s mission.

Pay Range

$107,820 - $121,680 Annually

Please note that the pay range information is a general guideline only. Many factors are taken into consideration when setting starting pay including education, experience, the external labor market, and internal equity.

Job Description

We have an opening for a Postdoctoral Researcher with a strong computational science background to 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 Center for Applied Scientific Computing (CASC) Division within the Computing Directorate.

In this role you will

• 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, finite volume methods, high-performance computing, machine learning, and statistics.
• Design, implement, and analyze computational techniques and tools in one or more of the above areas.
• Organize and analyze physical 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.

Qualifications

• Recent PhD in computational science/mechanics or related field.
• Experience in one or more of the following computational science areas: machine learning, reduced order modeling, fluid/solid mechanics/heat transfer, finite elements, finite volumes, and spectral methods.
• Demonstrated programming ability in C, C++, FORTRAN, Python, or similar languages.
• Demonstrated ability to improve physics simulation through development of computational tools and their utilization for advanced modeling of complex phenomenon.
• Demonstrated ability to develop independent research projects as demonstrated through publication of peer-reviewed literature.
• Demonstrated proficient verbal and written communication skills to collaborate effectively in a team environment and present and explain technical information.
• Demonstrated initiative and interpersonal skills and ability to work in a collaborative, multidisciplinary team environment.

Qualifications We Desire

• Experience in Python, MATLAB, PyTorch, TensorFlow, data parsing/preprocessing tools, and/or data analysis tools.
• Previous exposure to various data-driven physical simulations, such as reduced order modeling.
• Previous exposure to various physical simulations, e.g., hydrodynamics and transport.

Additional Information

All your information will be kept confidential according to EEO guidelines.

Position Information

This is a Postdoctoral appointment with the possibility of extension to a maximum of three years, open to those who have been awarded a PhD at time of hire date.

Why Lawrence Livermore National Laboratory?

• Flexible Benefits Package
• 401(k)
• Relocation Assistance
• Education Reimbursement Program
• Flexible schedules (*depending on project needs)
• Inclusion, Diversity, Equity and Accountability (IDEA) - visit https://www.llnl.gov/diversity
• Our core beliefs - visit https://www.llnl.gov/diversity/our-values
• Employee engagement - visit https://www.llnl.gov/diversity/employee-engagement

Security Clearance

None required. However, this position involves U.S. Export Control; this work must be performed by a U.S. person (U.S. citizen, U.S. lawful permanent resident, U.S. national, or U.S. protected individual (e.g., refugee, asylee)).

If your assignment is longer than 179 days cumulatively within a calendar year, you must go through the Personal Identity Verification process. This process includes completing an online background investigation form and receiving approval of the background check. (This process does not apply to foreign nationals.)

Pre-Employment Drug Test

External applicant(s) selected for this position must 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.

Equal Employment Opportunity

We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. 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, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.

We invite you to review the Equal Employment Opportunity posters which include EEO is the Law and Pay Transparency Nondiscrimination Provision.

Reasonable Accommodation

Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory. If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.

California Privacy Notice

The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.