Lawrence Livermore National Laboratory



Postdoctoral Research Staff Member-Applied Statistics

Location:  Livermore, CA
Category:  Post Docs
Organization:  Engineering
Posting Requirement:  External Posting
Job ID: 104603
Job Code: Post-Dr Research Staff 1 (PDS.1)
Date Posted: November 28 2018

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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 multiple openings for Postdoctoral Researchers to engage in the research, design, and deployment of statistical methods to solve important decision and detection problems stemming from the Laboratory's core mission spaces. Expertise in the following areas is desired: Bayesian modeling, analysis and design of computer experiments, statistical learning, statistical methods for “Big Data” or general statistical consulting.

Time is also available for career development that may include completing journal articles for submission, learning new methods or programming languages, and exploring the variety of research activities across the Lab.

These positions are in the Computational Engineering Division (CED), within the Engineering Directorate.

Essential Duties
- Conduct research in and development of one or more of the following areas: cyber security, image and video analysis, design of computer experiments, climate modeling, energy analysis, computational biology, lasers, and optics.
- Design, implement, and analyze techniques in one or more of the above areas.
- Contribute to and actively participate with project scientists and engineers in the scope, planning, and formulating modeling/simulation efforts for physical, engineering, and computational systems in the areas of cyber security, biological and environmental threat detection, uncertainty quantification, and others.
- Develop, implement, validate, and document specialized analysis software tools and models as required.
- Collaborate with others in a multidisciplinary team environment to accomplish research goals including industrial and academic partners.
- Organize, analyze and publish research results in peer-reviewed scientific or technical journals and present results at external conferences seminars and/or technical meetings.
- Pursue independent (but complementary) research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory.
- Perform other duties as assigned.

Qualifications
- Recent PhD in Statistics or related field.
- Experience using programming skills in at least one prototyping language R/Matlab/Python, as well as one of C/C++/Java to enable high performance statistical computation.
- Experience developing and applying advanced statistical/machine learning models and algorithms for one or more of the following settings: classification, clustering, anomaly detection, density estimation, pattern recognition, knowledge discovery.
- Experience as an innovative experimentalist with a broad range of experience in experimental design, techniques, and execution.
- Experience developing independent research projects as demonstrated through publication of peer-reviewed literature.
- Proficient verbal and written communication skills to collaborate effectively in a team environment and present and explain technical information.
- Effective initiative and interpersonal skills and ability to work in a collaborative, multidisciplinary team environment.
- Ability and desire to obtain substantial domain knowledge in fields of application and ability to communicate effectively with subject matter experts.

Desired Qualifications
- Experience with the proper use of statistical inference.

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:  This position requires either no security clearance, or a Department of Energy (DOE) L-level or Q-level clearance depending on the location of the assignment.

If you are selected and a security clearance is required, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter.  In addition, all L or Q cleared employees are subject to random drug testing.  L and Q-level clearances require U.S. citizenship.  If you hold multiple citizenships (U.S. and another country), you may be required to renounce your non-U.S. citizenship before a DOE L or Q clearance will be processed/granted.

Note:  This is a one year Postdoctoral appointment.  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 $1.8 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.

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