Los Alamos National Laboratory Computational Solid Mechanics and Materials Modeling Postdoc in Los Alamos, New Mexico
Job Title Computational Solid Mechanics and Materials Modeling Postdoc
Location Los Alamos, NM, US
Organization Name T-3/Fluid Dynamics And Solid Mechanics
What You Will Do
The Fluid Dynamics and Solid Mechanics Group (T-3) is seeking outstanding candidates for multiple post-doctoral research opportunities in the areas of solid mechanics, materials modeling, and numerical methods development. The prospective post-doctoral research associates will take a lead role in the development of (i) models of inelastic deformation and/or failure in solid materials, and (ii) computational techniques for the effective representation of such behaviors.
What You Need
Minimum Job Requirements:
Strong background and demonstrated research experience in theoretical modeling and numerical simulation of large-deformation problems involving metallic, polymeric, and/or organic crystal systems. Strong interest and expertise in the mechanics and physics of finite-deformation plasticity and damage processes, and models for the representation of these behaviors. Demonstrated experience in computational methods and implementation of new materials models in parallel computing environments. Excellent oral and written communication skills, ability to work in both team and independent research environments, and ability to interact effectively with experimental scientists.
Desired Skills: Expertise in one or more of the following areas is highly desirable.
Damage and failure modeling in ductile and/or brittle materials,
Phenomenological and/or single-crystal plasticity models,
Microstructure evolution processes (e.g. twinning, phase transitions, recrystallization),
Phase field models of microstructural evolution or damage/failure processes,
Poly-crystal plasticity with homogenization or full-field (FEM or spectral) methods,
Nonlocal/generalized continuum mechanics and constitutive modeling,
Concurrent multiscale (e.g. atomistic-continuum) modeling techniques,
Coupled multi-physics (e.g. reaction-diffusion-mechanics) problems,
Data-driven / machine-learning approaches in materials science.
Education: A doctoral degree in engineering, materials science, scientific computing, or a related field, completed within the last five years or soon to be completed.
Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks.
New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing.
Candidates may be considered for a Director's Postdoc Fellowship and outstanding candidates may be considered for the prestigious Richard P. Feynman, Darleane Christian Hoffman, J. Robert Oppenheimer, or Frederick Reines Distinguished Postdoc Fellowships.
For general information go to Postdoc Program .
Los Alamos National Laboratory is an equal opportunity employer and supports a diverse and inclusive workforce. All employment practices are based on qualification and merit, without regards to race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation or preference, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to email@example.com or call 1-505-665-4444 option 1.
Where You Will Work
Located in northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. LANL enhances national security by ensuring the safety and reliability of the U.S. nuclear stockpile, developing technologies to reduce threats from weapons of mass destruction, and solving problems related to energy, environment, infrastructure, health, and global security concerns.
Appointment Type Postdoc
Contact Name Leyba, Deborah Lee (Debbie)
Req ID: IRC69142