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Come join Lawrence Livermore National Laboratory (LLNL) where we apply science and technology to make the world a safer place; now one of 2020 Best Places to Work by Glassdoor!
We have multiple openings for postdoctoral researchers to conduct basic and applied research. Advances in computational models of physical systems enable significant advances in our overall capabilities to address important problems. The work brings together computational mechanics of materials, high performance computing, and innovative connections to experimental methods. Capabilities are deployed both for focused studies and for treatment of complex coupled phenomena in more integrated applications. These positions are in the Computational Engineering Division (CED), within the Engineering Directorate.
- Conduct research in a relevant discipline within computational engineering including the development of mathematical and computational models of engineered materials, devices, systems, or processes.
- Work with experimentalists on designing, implementing, and analyzing relevant experiments.
- Organize, analyze, and present data from research.
- Contribute to and actively participate in the conception, design, and execution of research to address defined problems.
- Pursue independent, complementary research interests and interact with a broad spectrum of engineers and 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 Engineering or related field.
- Experience in a field related to computational solid mechanics, mechanics of materials, or fluid mechanics.
- Experience with software development using scripting languages or C/C++/Fortran in a UNIX environment.
- 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 engineering analysis, typically through finite element and/or finite volume techniques and associated productivity tools.
- Experience with machine learning, e.g. artificial neural networks.
- Familiarity with productivity tools for team software development environments.
- Experience participating meaningfully in experimental activities.
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 is a 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 $2.1 billion, employing approximately 6,800 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.