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Company Description
Join us and make YOUR mark on the World!Are you interested in joining some of the brightest talent in the world to strengthen the United States' security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.We are looking for individuals that demonstrate an understanding of working in partnership with team peers, who engage, advocate, and contribute to building an inclusive culture, and provide expertise to solve challenging problems. Job Description We have an opening for a Postdoctoral Researcher to perform research in Uncertainty Quantification (UQ), Statistics and Data Science, to advance the discipline as well as to apply cutting edge tools and techniques to high dimensional data stemming from applications that involve complex multi-physics codes that embody a large spectrum of uncertainties across the coupled physics modules. You will work in a multi-disciplinary team together with statisticians, machine learning experts, data science practitioners, and domain scientists in areas such as high energy density physics, material science, nuclear data and weapon physics and design. You will also have the opportunity to engage in a variety of related research projects in computational physics, high-performance computing and data analysis. This position is in the Center for Applied Scientific Computing (CASC) within the Computing Directorate.In this role you will- Research and develop advanced estimation, validation and uncertainty quantification methodology using state-of-the-art statistical methods, machine learning, and/or multi-fidelity modeling.
- Develop prototype software utilizing high-performance computing to evaluate novel UQ and address model form uncertainty.
- Publish research results in external peer-reviewed scientific journals and participate in conferences and workshops.
- Present formal and informal overviews of research progress at group meetings.
- Contribute to grant proposals and collaborate with others in a multidisciplinary team environment to accomplish research goals.
- Pursue independent (but complementary) research interests and interact with a broad spectrum of scientists internal and external to the Laboratory.
- Perform other duties as assigned.
- Ability to obtain and maintain a US DOE Q-level security clearance which requires U.S. Citizenship
- Ph.D. in Statistics, Computer Science, or related field.
- Experience in developing, implementing, and applying uncertainty quantification, Bayesian and other statistical inference methods and algorithms.
- Ability and desire to obtain substantial domain knowledge in fields of application and ability to communicate effectively with domain scientists.
- Experience programming in Python/R/Julia, C/C or similar languages, and in a Unix/Linux environment.
- Ability to conduct high quality research and to develop implementations of sophisticated algorithms to evaluate the results.
- Demonstrates publication record in peer-reviewed journals and/or conferences.
- Analytical and problem-solving skills necessary to craft creative solutions to independently solve complex problems.
- Proficient verbal and written communication skills to effectively collaborate in a team environment, present and explain technical information to technical as well as non-technical audiences, document work and write research papers.
- Experience with high-performance computing, GPU programming, parallel programming, cloud computing, and/or related methods.
- Included in 2022Best Places to Work by Glassdoor!
- Work for a premier innovative national Laboratory
- Comprehensive Benefits Package
- Flexible schedules (depending on project needs)
- Collaborative, creative, inclusive, and fun team environment
- ID: #43310003
- State: California Livermore 94550 Livermore USA
- City: Livermore
- Salary: USD TBD TBD
- Job type: Permanent
- Showed: 2022-06-19
- Deadline: 2022-08-17
- Category: Et cetera