Scalable Optimization Algorithms and HPC Solvers - Postdoctoral Research Staff Member

Lawrence Livermore National Laboratory
Livermore, CA 94550

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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 2020Best Places to Work by Glassdoor!

We have an opening for a Postdoctoral Researcher to perform research in the area of scalable optimization algorithms and high-performance computing (HPC) solvers for the optimal design and control complex engineering systems. You will develop optimization algorithms, provide the supporting mathematical analysis of such algorithms, support ongoing efforts in solver development, and deploy the resulting HPC tools for problems related to power. This position is in the Center for Applied Scientific Computing (CASC) Division within the Computing Directorate.

Essential Duties
- Research new strategies and explore existing techniques to develop scalable optimization algorithms that are efficient on existing and next-generation DOE leadership supercomputers.
- Perform mathematical analysis (iteration complexity, convergence, rates of convergence) of the algorithms and ensure that the algorithms perform efficiently on massively parallel HPC environments.
- Provide parallel programming implementations in C++ and corresponding code optimization and profiling on select HPC machines.
- Develop a portfolio of optimization models in power grid and assist with the integration of the optimization solvers into simulation and application codes.
- Participate in the establishment of future research directions and contribute to group grant proposals, including proposal presentations and preparation of proposals.
- Document complex research and development progress via technical reports, journal publications, and conference presentations and collaborate with a broad spectrum of scientists internally and externally to accomplish research goals.
- Pursue independent (but complementary) research interests and interact with a broad spectrum of scientists internally and externally to define and carry out the research.
- Perform other duties as assigned.

- PhD in Applied Mathematics, Computational Science, Industrial Engineering, Electrical Engineering, or a related field.
- Knowledge of numerical optimization, numerical linear algebra, and numerical analysis, and, in particular, of higher-order algorithms for continuous optimization.
- Experience in scientific computing and parallel programming with MPI.
- Knowledge of optimization theory in general.
- Experience programming in C/C++ in a Unix/Linux environment.
- Ability to conduct high quality research and to develop implementations to evaluate the results.
- Initiative and interpersonal communication skills necessary to work effectively in a dynamic team environment.
- Proficient verbal and written communication skills necessary to interact in a clear and concise manner, author technical and scientific reports and papers, and deliver scientific presentations.

Desired Qualifications
- Experience with linear and nonlinear (continuous and mixed integer) optimization libraries, numerical linear algebra libraries, and GPU programming models
- Knowledge of the algebraic modeling languages JuMP or Pyomo.
- Experience with various facets of power grid modeling and optimization.

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: None required.

However, 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.)

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 applyingcutting-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.



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Scalable Optimization Algorithms and HPC Solvers - Postdoctoral Research Staff Member

Lawrence Livermore National Laboratory
Livermore, CA 94550

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