Science and Technology on a Mission!
For more than 60 years, the Lawrence Livermore National Laboratory (LLNL) has applied science and technology to make the world a safer place.
We have an opening for a Postdoctoral Research Staff Member in Exascale Co-design for Computational Materials Science and Particle-based Methods in support of the Exascale Co-design Center for Particle Simulations (COPA). You will actively contribute to exascale particle-based applications, including molecular dynamics, particle-in-cell, material point method, and cosmology simulations. This position is in the Computational Materials Science group of the Materials Science Division.
- Conduct research in exascale computing involving the development, assessment, and co-design of computational materials science and particle applications.
- Design, develop, and deploy exascale ready application codes for additive manufacturing.
- Contribute to and actively participate in materials science and particle-based research.
- Perform programming in Fortran, C, and C++ to include: algorithm development, code refactoring, emerging task-based programming models and emerging node architectures such as GPU, massive multicore, and hybrid.
- Pursue independent but complementary research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory.
- Collaborate with scientists in a multidisciplinary team environment to accomplish research goals.
- Document research; publish papers in peer-reviewed journals, and present results within the DOE community and at conferences.
- Perform other duties as assigned.
- Recent PhD in materials science, engineering, physics, mathematics, or related computational science field.
- Experience in high performance computing, or particle-based methods in Computational Science.
- Experience in Computational Science that is at the cross-section of application science, algorithm development and computer science.
- Ability as an innovative computational scientist with a broad range of experience in application development.
- Ability to develop independent research projects through publication of peer-reviewed literature.
- Proficient verbal and written communication skills as reflected in effective presentations at seminars, meetings and/or teaching lectures.
- Initiative and interpersonal skills with desire and ability to work in a collaborative, multidisciplinary team environment.
- Demonstrated skills in computational science, and particle based methods in computational science.
Pre-Employment Drug Test: External applicant(s) selected for this position will be required to pass a post-offer, pre-employment drug test.
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 two-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 $1.8 billion, employing approximately 6,500 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.