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We have an opening for a Postdoctoral Researcher to perform research in the area of approximate computing for High Performance Computing. You will work collaboratively with LLNL researchers to develop approximate algorithms and a framework that will enable scientific applications to make effective use of approximate algorithms to improve application performance within an acceptable error threshold. This position is in the Center for Applied Scientific Computing (CASC) Division within the Computing Directorate.
- Research new algorithms and explore existing techniques in approximate computing to identify suitable approximate algorithms for scientific applications.
- Research techniques to identify approximable regions of the code where approximate algorithms can be applied.
- Provide support to enable HPC codes to efficiently use approximate computing algorithms.
- Perform empirical studies to explore the accuracy/performance trade-offs on HPC benchmarks.
- Document methodology for using approximate computing in scientific applications.
- Participate in the establishment of future research directions and contribute to group grant proposals, including preparation and presentation 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.
- Ph.D. in Computer Science, Applied Mathematics, or a related field.
- Ability to perform research and development in approximate computing or ability to move into new research fields and a willingness to learn approximate computing technology.
- Ability to conduct high quality independent research and to develop implementations to evaluate the results.
- Experience in programming C/C++ in a Unix/Linux 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.
- Ability to take the initiative and have interpersonal communication skills necessary to work effectively in a dynamic team environment.
- Experience developing approximate algorithms for scientific codes or with approximate computing for other domains.
- Experience in parallel programming, preferably in widely used parallel programing models, such as OpenMP, CUDA and/or MPI.
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.
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.