Applied Statistics Postdoctoral Researcher

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 dedicated to fostering a culture that values individuals, talents, partnerships, ideas, experiences, and different perspectives, recognizing their importance to the continued success of the Laboratory's mission.

$117,900 - $135,060 Annually

This is the lowest to highest salary in good faith we would pay for this role at the time of this posting. Pay will not be below any applicable local minimum wage. An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs.

We have multiple openings for Postdoctoral Researchers
. You will engage in cutting edge research, design, and deployment of statistical methods to solve important decision and detection problems stemming from the Laboratory's core mission spaces. You will have expertise in one of the following desired areas:
Bayesian modeling, uncertainty quantification, analysis and design of computer experiments, statistical learning, statistical methods for "Big Data" or general statistical consulting. These positions are in the Computational Engineering Division (CED), within the Engineering Directorate.

• Conduct independent, as well as participate in team-based research in and development of one or more of the following areas: physical process modeling, image and video analysis, uncertainty quantification, calibration, design of computer experiments, large-scale model architectures.
• 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 physics, cyber security, biological and environmental threat detection, uncertainty quantification, and others.
• Develop, implement, validate, and document specialized analysis software tools and models as required, including preparing complex and detailed progress reports, written analyses, and verbal briefings to support project needs and deadlines.
• 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.
• Travel as needed to coordinate with research collaborators and to attend external meetings and conferences.
• Perform other duties as assigned.

• Ability to secure and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.
• PhD degree in Statistics or related technical or scientific field.
• Fundamental knowledge and/or experience developing and applying statistical/machine learning models and algorithms for one or more of the following settings: calibration, uncertainty quantification, surrogate modeling, design of experiments, classification, clustering, anomaly detection.
• Effective initiative and interpersonal skills and ability to work in a collaborative, multidisciplinary team environment, including demonstrated desire and ability to obtain substantial domain knowledge in fields of application.
• Proficient verbal and written communication skills to collaborate effectively in a team environment, present and explain technical information, and effectively communicate with subject matter experts.
• Fundamental knowledge of and experience applying programming skills…