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Los Alamos National Laboratory · 4 days ago

Applied Statistics and Machine Learning Postdoc

Los Alamos, NM

Full-time

Onsite

New Grad, Entry Level

Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. They are seeking a Postdoctoral Research Associate to develop novel statistical and machine learning algorithms for process modeling of complex nuclear processing facilities. The role involves characterizing high-dimensional joint distributions and enabling timely, uncertainty-aware anomaly detection, while collaborating with a team of experts in various scientific fields.

Security

Growth Opportunities

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Develop novel statistical and machine learning algorithms for process modeling of complex nuclear processing facilities

Characterize high-dimensional joint distributions for dependent, heterogeneous data sources over time under normal operations

Enable timely, uncertainty-aware anomaly detection

Explore novel uncertainty quantification methods within machine learning and artificial intelligence

Join a large, interdisciplinary collaboration of scientists and engineers to develop creative solutions to important national security problems

Support growth as a research statistician, including conference travel, manuscript publication, networking, service, and mentorship opportunities

Qualification

Ph.D. in StatisticsStatistical computingUncertainty quantificationMachine learning algorithmsC/C++PythonRHigh-performance computingStatistical applicationsCollaborative researchPublication in journalsConference presentationsCode development