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Physics World · 1 month ago

Applied Statistics Postdoctoral Researcher

Livermore, CA

Full-time

Hybrid

New Grad, Entry Level

$118K/yr - $135K/yr

Lawrence Livermore National Laboratory (LLNL) is dedicated to fostering a culture that values individuals and partnerships. They are seeking multiple Postdoctoral Researchers to engage in cutting-edge research and the deployment of statistical methods to solve important decision and detection problems.

Publishing

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

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

Qualification

Bayesian modelingUncertainty quantificationStatistical learningStatistical methods for Big DataProgramming in Python/R/MatlabC/C++/Java programmingIndependent researchEffective communicationTeam collaboration

Required

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 using at least one prototyping language Python/R/Matlab, as well as one of C/C++/Java to enable high performance statistical computation

Ability to develop independent research projects as demonstrated through publication of peer-reviewed literature