Physics World
Applied Statistics Postdoctoral Researcher
Physics World, Livermore, California, United States, 94551
Applied Statistics Postdoctoral Researcher – Lawrence Livermore National Laboratory (LLNL)
We are looking for an Applied Statistics Postdoctoral Researcher to join the Computational Engineering Division (CED) within the Engineering Directorate. 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. Expertise in Bayesian modeling, uncertainty quantification, analysis/design of computer experiments, statistical learning, big data methods, or general statistical consulting is desired.
Pay Range $117,900 - $135,060 Annually
Responsibilities
Conduct independent and team‑based research in and development of physical process modeling, image and video analysis, uncertainty quantification, calibration, design of computer experiments, large‑scale model architectures.
Design, implement, and analyze techniques in these areas.
Collaborate with project scientists and engineers in scope, planning, and modeling/simulation efforts for physical, engineering, and computational systems in physics, cyber security, biological and environmental threat detection, and more.
Develop, implement, validate, and document specialized analysis software tools and models; prepare detailed progress reports and briefings to support project needs.
Collaborate with multidisciplinary teams, including industrial and academic partners.
Organize, analyze, and publish research results in peer‑reviewed journals and present at conferences, seminars, and technical meetings.
Pursue independent complementary research interests and interact with a broad spectrum of scientists internally and externally.
Travel as needed to coordinate with collaborators and attend external meetings.
Perform other duties as assigned.
Qualifications
Must secure and maintain a U.S. DOE Q‑level security clearance requiring U.S. citizenship.
PhD in Statistics or related technical or scientific field.
Fundamental knowledge/experience developing and applying statistical/machine‑learning models and algorithms for calibration, uncertainty quantification, surrogate modeling, design of experiments, classification, clustering, anomaly detection, etc.
Effective initiative and interpersonal skills with ability to work in multiple disciplines.
Strong verbal and written communication skills; ability to present technical information clearly.
Programming skills in at least one prototyping language (Python/R/Matlab) and one compiled language (C/C++/Java) for high‑performance computation.
Demonstrated ability to develop independent research projects; publication record in peer‑reviewed literature.
Additional Information This is a Postdoctoral appointment with the possibility of extension up to three years, open to those who have received a PhD at the time of hire.
Benefits
Included in 2025 Best Places to Work by Glassdoor!
Flexible Benefits Package
401(k)
Relocation Assistance
Education Reimbursement Program
Flexible schedules (depending on project needs)
Our values – see LLNL Values
Security Clearance Requires DOE Q‑level clearance; background investigation as part of federal hiring. All Q‑cleared employees are subject to random drug testing.
Pre‑Employment Drug Test External applicants must pass a post‑offer, pre‑employment drug test including testing for marijuana use.
Wireless and Medical Devices As per DOE rules, limits on mobile device usage in restricted areas. Personal devices must comply with restrictions. Hearing aids with no wireless capability or disabled wireless allowed in restricted areas.
Equal Employment Opportunity We are an equal opportunity employer that is committed to providing a work environment free of discrimination and harassment. 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, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.
Reasonable Accommodation If you need reasonable accommodation during the application or recruiting process, please use our online form to submit a request.
California Privacy Notice The California Consumer Privacy Act grants privacy rights to all California residents. The Employee Privacy Notice can be accessed here.
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Pay Range $117,900 - $135,060 Annually
Responsibilities
Conduct independent and team‑based research in and development of physical process modeling, image and video analysis, uncertainty quantification, calibration, design of computer experiments, large‑scale model architectures.
Design, implement, and analyze techniques in these areas.
Collaborate with project scientists and engineers in scope, planning, and modeling/simulation efforts for physical, engineering, and computational systems in physics, cyber security, biological and environmental threat detection, and more.
Develop, implement, validate, and document specialized analysis software tools and models; prepare detailed progress reports and briefings to support project needs.
Collaborate with multidisciplinary teams, including industrial and academic partners.
Organize, analyze, and publish research results in peer‑reviewed journals and present at conferences, seminars, and technical meetings.
Pursue independent complementary research interests and interact with a broad spectrum of scientists internally and externally.
Travel as needed to coordinate with collaborators and attend external meetings.
Perform other duties as assigned.
Qualifications
Must secure and maintain a U.S. DOE Q‑level security clearance requiring U.S. citizenship.
PhD in Statistics or related technical or scientific field.
Fundamental knowledge/experience developing and applying statistical/machine‑learning models and algorithms for calibration, uncertainty quantification, surrogate modeling, design of experiments, classification, clustering, anomaly detection, etc.
Effective initiative and interpersonal skills with ability to work in multiple disciplines.
Strong verbal and written communication skills; ability to present technical information clearly.
Programming skills in at least one prototyping language (Python/R/Matlab) and one compiled language (C/C++/Java) for high‑performance computation.
Demonstrated ability to develop independent research projects; publication record in peer‑reviewed literature.
Additional Information This is a Postdoctoral appointment with the possibility of extension up to three years, open to those who have received a PhD at the time of hire.
Benefits
Included in 2025 Best Places to Work by Glassdoor!
Flexible Benefits Package
401(k)
Relocation Assistance
Education Reimbursement Program
Flexible schedules (depending on project needs)
Our values – see LLNL Values
Security Clearance Requires DOE Q‑level clearance; background investigation as part of federal hiring. All Q‑cleared employees are subject to random drug testing.
Pre‑Employment Drug Test External applicants must pass a post‑offer, pre‑employment drug test including testing for marijuana use.
Wireless and Medical Devices As per DOE rules, limits on mobile device usage in restricted areas. Personal devices must comply with restrictions. Hearing aids with no wireless capability or disabled wireless allowed in restricted areas.
Equal Employment Opportunity We are an equal opportunity employer that is committed to providing a work environment free of discrimination and harassment. 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, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.
Reasonable Accommodation If you need reasonable accommodation during the application or recruiting process, please use our online form to submit a request.
California Privacy Notice The California Consumer Privacy Act grants privacy rights to all California residents. The Employee Privacy Notice can be accessed here.
#J-18808-Ljbffr