Lawrence Livermore National Laboratory

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Postdoctoral Research Staff Member

Location:  Livermore, CA
Category:  Post Docs
Job ID: 102763
Job Code: 
Date Posted: 

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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 Researcher to perform research in multilevel approaches in uncertainty quantification (UQ) at extreme scale, exploiting highly accurate hierarchies of coarse (upscaled) discretization schemes, typically developed based on algebraic multigrid, utilizing high-performance computing.  You will support ongoing projects in adaptive schemes that can be effectively reused in Markov Chain Monte Carlo simulation of multi-physics phenomena with uncertain input data that are common in subsurface flow models, as well as in various (non-PDE) network applications (such as power grid).  This position is in the Center for Applied Scientific Computing (CASC) within the Computation Directorate.

Essential Duties
- Research and develop methods for UQ simulations exploiting highly accurate coarse (upscaled) finite element and more general purely algebraic coarsening schemes available or under development at LLNL utilizing high-performance computing to handle extreme scale problems.
- Develop prototype software utilizing high-performance computing to evaluate novel UQ.
- Pursue independent (but complementary) research interests and being able to interact with team members internally and externally.
- Publish research results in external peer-reviewed scientific journals and participate in conferences and workshops.
- Present formal and informal overview of research progress at group meetings.
- Participate in existing division collaborations and alliances with academia and industry.
- Perform other duties as assigned.

- Recent PhD in Computer Science, Mathematics, or related field.
- Research experience in one or more of the following areas: numerical PDEs, finite elements and multilevel solvers, Monte Carlo, as well as basic knowledge of probability and statistics with application to UQ.
- Ability to conduct high quality research and to develop implementations of sophisticated algorithms to evaluate the results.
- Experience programming in C and/or C++.
- Proficient verbal and written communication skills necessary to interact with members of a research team, author technical and scientific reports and papers, and deliver technical presentations.
- Demonstrated publication record in peer-reviewed journals and/or conferences.
- Strong decision-making skills necessary to independently solve complex research problems.

Desired Qualifications
- Experience in specialized (element or aggregation based) algebraic multigrid, Monte Carlo and MCMC simulations, and/or (parallel) mesh/graph partitioning.
- Experience implementing algorithms for distributed computers or multi-core CPUs or GPUs.
- Experience with MPI and/or OpenMP.

Pre-Employment Drug Test:  External applicant(s) selected for this position will be required to pass a post-offer, pre-employment drug test.

Anticipated Clearance Level:  None.


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.

About Us

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 $1.5 billion, employing approximately 6,000 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.

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