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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 2020 Best Places to Work by Glassdoor!
We have multiple openings for Postdoctoral Research Staff Members to engage in the research, design, and deployment of machine learning and statistical methods to solve important data and science problems stemming from the Laboratory's mission spaces. You will work as part of collaborative, multidisciplinary teams to support a variety of application areas (such as material science, high energy physics, predictive medicine, cybersecurity, climate modeling). These positions are in the Center for Applied Scientific Computing (CASC) Division within the Computing Directorate.
- Research, design, implement, and apply a variety of advanced data science methods for multiple applications in a collaborative scientific environment.
- Actively participate with project scientists and engineers in defining, planning, and formulating experimental, modeling, and simulation efforts for complex problems stemming from national security applications.
- Propose and implement advanced analysis methodologies, collect and analyze data, and document results in technical reports and peer-reviewed publications.
- Contribute to grant proposals and collaborate with others in a multidisciplinary team environment, including academic and industrial partners, 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.
- Recent PhD in Machine Learning, Statistics, Computer Science, Mathematics or a related field.
- Demonstrated ability and desire to obtain substantial domain knowledge in fields of application and ability to communicate effectively with subject matter experts.
- Experience with developing, implementing and applying advanced statistical and machine learning models and algorithms.
- Demonstrated research ability, as documented by publications, reports, and presentations.
- Experience applying advanced data analysis methodologies for prediction and scientific discovery while integrating a thorough understanding of the underlying mechanisms generating the data in computer science, machine learning, computational statistics, and uncertainty quantification.
- Advanced analytical and problem-solving skills necessary to craft creative solutions to independently solve complex problems.
- Programming skills in at least one prototyping language Python/R/MATLAB, as well as one of C/C++/Fortran to enable high-dimensional data analysis on HPC platforms.
- Proficient verbal and written communication skills to effectively collaborate in a team environment, present and explain technical information to technical as well non-technical audience, document work and write research papers.
- Experience with high-performance computing, GPU programming, parallel programming, cloud computing, and/or related methods.
- Demonstrated technical leadership in fields related to data science.
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 listing has multiple openings. These are a one year Postdoctoral appointment with the possibility of extension to a maximum of three years. Eligible candidates are those who have been awarded a PhD 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 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 $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.