Los Alamos National Laboratory Jobs

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Job Information

Los Alamos National Laboratory Materials Science Postdoc-Data Analytics in Los Alamos, New Mexico

What You Will Do

The MST-8 Materials Science and Technology group at Los Alamos National Laboratory has great opportunities for outstanding candidates to join our team in the field of materials modelingvia molecular dynamics simulations. The work will focus on the study of dislocation/interface interactions in metallic nanolaminates. The overall objective of the project is to evaluate the relationship between the structure of the hetero-interface and its ability to absorb dislocations, to delocalize Burgers vectors and to emit dislocations. The project is part of a large scale program in which we aim to stand up a multi-scale modeling capability with a high-fidelity treatment of the effect of hetero-interfaces on the mechanical response of these metallic composites. As such, the ideal candidate is expected to have a strong background in molecular dynamics simulations applied to plasticity related problems as well as a solid understanding of advanced continuum mechanics concepts.

The successful candidate will join the ‘Dynamic and Quasi-static loading – modeling (DQSLM)’ team within the MST-8 group. The DQSLM team focuses on the development and use of advanced computational mechanics models to predict the effects of extreme and complex environments on both mechanical response and microstructure evolution in materials. The environments considered include high stresses, temperatures, dynamics loading, radiation, etc. The DQSLM team adopts both hierarchical and integrated multiscale modeling and characterization strategies for mechanical deformation problems in the Material Science and Technology division. As such, a strong emphasis is placed in proposing original and statistically meaningful coarse graining approaches linking the findings that can be derived from the subatomic length scale to both length and time scales representative of components.

The successful candidate will lead the data-analytics based constitutive model development for the prediction of deformation behavior and microstructure evolution of advanced materials. Particular emphasis will be placed on surrogate model development for thermal and irradiation creep applications.

What You Need

Minimum Job Requirements:

  • A PhD in Materials Science, Mechanical Engineering, Physics or related fields completed within the last FOUR years.

  • Expertise in molecular dynamics simulations.

  • Strong foundation in plasticity of metals.

  • Ability to conduct independent and collaborative research.

  • Ability to meet the tight schedules, organize and prioritize tasks for effective accomplishment of project goals

  • Excellent interpersonal, oral and written communications skills.

  • Strong publication record.

Desired Qualifications:

  • Ability to effectively program using common languages like Fortran, C++.

  • Ability to adapt to new requirements for projects and be flexible enough to learn new tools as needed by the research.

Education: PhD in Materials Science, Mechanical Engineering, Physics and related fields completed within last FOUR years.

Note to Applicants:

  • As part of the online application process, please include a cover letter describing your professional interests, career goals, and related skills and qualifications

  • In addition to the application process, please email resume to laurent@lanl.gov

Where You Will Work

Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:

§ PPO or High Deductible medical insurance with the same large nationwide network

§ Dental and vision insurance

§ Free basic life and disability insurance

§ Paid maternity and parental leave

§ Award-winning 401(k) (6% matching plus 3.5% annually)

§ Learning opportunities and tuition assistance

§ Flexible schedules and time off (paid sick, vacation, and holidays)

§ Onsite gyms and wellness programs

§ Extensive relocation packages (outside a 50 mile radius)

Additional Details

Clearance: A candidate with the ability to obtain and maintain a DOE Q clearance is desired, but not required. If eligible, selected applicants will be subject to a Federal background investigation for access to classified matter.

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 more information about the Postdoc Program, go to https://www.lanl.gov/careers/career-options/postdoctoral-research/index.php .

Equal Opportunity: 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 regard 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 applyhelp@lanl.gov or call 1-505-665-4444 option 1.

Appointment Type



Contact Details
Contact Name
Work Telephone
Vacancy Name: IRC81606
Organization Name MST-8/Structure/Property Relations
Minimum Salary
Maximum Salary
Req ID: IRC81606
Category: Postdoc