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Los Alamos National Laboratory · 4 days ago

Post-Doctoral focused on uncertainty quantification applied to constitutive models

Los Alamos, NM

Full-time

Onsite

New Grad

$94K/yr - $94K/yr

Los Alamos National Laboratory is a multidisciplinary research institution engaged in strategic science on behalf of national security. The position involves performing research to develop methods and algorithms for uncertainty quantification in polycrystal constitutive models, with a focus on mechanical performance of metals in extreme environments.

Security

Growth Opportunities

No H1B

U.S. Citizen Only

Responsibilities

Perform research to develop robust, physically realizable, and operationally valuable methods and algorithms to quantify and reduce the uncertainty of polycrystal constitutive models

Automatically calibrate and validate constitutive models for the mechanical performance of metals subjected to extreme environments

Develop active learning schema

Propose new design of experiments

Qualification

Uncertainty quantificationMachine learningBayesian inferenceProgramming skillsInterdisciplinary sciencePublication recordOperational experienceCommunication skillsPresentation skills

Required

Strong programming skills required, along with either (A) experience with machine learning frameworks and data analysis; or (B) expertise in Bayesian inference drive method

Excellent presentation, oral and written communication skills

Track record of peer-reviewed publications and presentations in your home discipline

Excellent interpersonal, oral and written communications skills

Strong publication record

Ph.D. in computer science, applied mathematics, statistics, physics, materials science, or related discipline completed within the last 5 years. Applications from candidates who will earn their degree by the time of appointment are accepted