Applied Statistics Postdoctoral Researcher at LLNL

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 Laboratorys 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.You willConduct 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.Qualifications : 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.Additional Information : #LI-HybridPosition InformationThis is a Postdoctoral appointment with the possibility of extension to a maximum of three years open to those who have been awarded a PhD at time of hire date.Why Lawrence Livermore National LaboratoryIncluded in 2025 Best Places to Work by Glassdoor!Flexible Benefits Package401(k)Relocation AssistanceEducation Reimbursement ProgramFlexible schedules (*depending on project needs)Our values - visit  ClearanceThis position requires a Department of Energy (DOE) Q-level clearance.  If you are selected we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also all L or Q cleared employees are subject to random drug testing.  Q-level clearance requires U.S. citizenship. Pre-Employment Drug TestExternal applicant(s) selected for this position must 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.Wireless and Medical DevicesPer the Department of Energy (DOE) Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession.  This includes but not limited to cell phones tablets fitness devices wireless headphones and other Bluetooth/wireless enabled devices.  If you use a medical device which pairs with a mobile device you must still follow the rules concerning the mobile device in individual sections within Limited Areas.  Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas Secure Space and Transit/Buffer Space within buildings.How to identify fake job advertisementsPlease be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. 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The Employee Privacy Notice can be accessed here.Remote Work : NoEmployment Type : Full-time Key Skills Intelligence Community Experience,Python,Spss,Microsoft Word,R,Regression Analysis,Windows,Stata,Microsoft Powerpoint,Research Experience,Data Modeling,Writing Skills Experience: years Vacancy: 1