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Los Alamos National Laboratory · 2 days ago

Postdoc Position in Materials Modeling, Simulation, and AI/ML

Los Alamos, NM

Full-time

Onsite

Senior Level

Los Alamos National Laboratory is a multidisciplinary research institution engaged in strategic science on behalf of national security. They are seeking a post-doctoral research associate to lead the development of high-fidelity models and advanced computational methods for simulating inelastic deformation and failure in solid materials using AI/ML techniques.

Security

Growth Opportunities

No H1B

U.S. Citizen Only

Responsibilities

Take lead roles in the development of high-fidelity, physics-based models of multi-scale/multi-physics processes

Develop advanced computational methods and AI/ML techniques for the effective implementation and application of models in simulations of inelastic deformation and failure in solid materials

Qualification

Materials modelingNumerical simulationAI/ML techniquesComputational methodsTheoretical modelingPlasticity mechanicsDamage modelingFracture modelingOral communicationWritten communicationTeam collaborationIndependent work

Required

A doctoral degree in engineering, materials science, scientific computing, or a related field, completed within the last five years or soon to be completed

Strong background and demonstrated research experience in theoretical modeling and numerical simulation of large-deformation problems

Strong interest and expertise in the mechanics and physics of plasticity, damage and/or fracture, and models of these behaviors

Demonstrated experience with computational methods/codes for the solution of initial/boundary value problems and the implementation of material models into such codes

Excellent oral and written communication skills

The ability to work independently and as an integral part of a team conducting theoretical/computational and experimental work

The ability to interact effectively with other members of such a diverse team of specialists

U.S. citizenship or permanent residence is required

Preferred

Expertise in one or more of the following areas is a considerable plus

Phase field models of microstructural evolution and/or damage and fracture processes

Mean-field and/or full-field (Finite Elements, Fast Fourier Transform-based) models for the prediction of mechanical response of heterogeneous materials (polycrystals, composites, etc.) in different constitutive regimes

Formulation and solution of coupled multi-physics problems

Algorithm and code development for parallel and emerging architectures

Constitutive modeling of crystalline materials, including single-crystal and polycrystal plasticity