Los Alamos National Laboratory Verification And Analysis Postdoctoral Research Associate in Los Alamos, New Mexico

What You Will Do

The Computational Physics: Verification & Analysis group (XCP-8) at the Los Alamos National Laboratory (LANL) has an opening for a postdoctoral research associate in the areas of shock physics, materials science, and machine learning. The selected candidate will be part of a multi-disciplinary team with expertise including diagnostics, computational physics, materials science, mathematics, machine learning, and design & execution of dynamic experiments. The selected candidate will use hydrodynamic codes to test and evaluate material models using machine learning approaches in order to better identify physics deficiencies and guide experimental design. The experimental data are obtained on a variety of experimental platforms including the LANL proton-radiography facility (pRad), Dual-Axis Radiographic Hydrotest Facility (DARHT), and the Sandia Z-machine, and include both fundamental and integral experiments. Ultimately, this work is targeted at extracting much more information from the available experimental data by better interfacing these data with advanced hydrodynamic codes and machine learning tools.

Experience with interpreted languages such as Python, Matlab, or R is required, Python experience being the most desirable

The applicant should have a strong background in at least one of the specialty areas of material science, machine learning, shock physics, or computational physics.

A successful candidate will engage in one or more of the following focus areas:

1) Develop, train, and use neural network architectures to process experimental data.

2) Validate the machine learning tools throughout the process to ensure the region of validity of the resulting tools, including assessing the impact of model form.

3) Use machine learning tools to design experiments that best test models in a differentiable way ultimately leading to the execution of those experiments.

4) Understand, apply, and validate a wide variety of material models based on the experimental data.

What You Need

Minimum Job Requirements:

  • Research-level expertise in machine learning, particularly neural networks, materials science, shock physics, or computational physics.

  • Demonstrated ability to communicate research to an interdisciplinary audience and work on an interdisciplinary team.

  • Strong programming skills in Python. Alternately experience programming in Matlab may be substituted, but a willingness to learn Python is required.

  • Familiarity with Unix.

  • Demonstrated ability to publish research in peer-reviewed journals or conference proceedings.

  • Ability and desire to obtain a Q clearance.

Desired Skills:

  • Proficiency with TensorFlow, pyTorch, Keras, or Scikit-learn

  • Proficiency using High Performance Compute clusters

  • Proficiency with hydrodynamic modeling and shock physics

Education: Ph.D. in mathematics, materials science, physics, computer science, statistics, machine learning or a closely related discipline completed within the past five years or to be completed soon prior to employment.

Notes to Applicants: Applicants must submit a CV and include a cover letter describing their research interests. In addition to applying through the official site, please email your CV and cover letter directly to Garry Maskaly (maskaly@lanl.gov). Postdoctoral appointments are for two years, with the possibility of a third-year extension.

Additional Details:

No Clearance: 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.

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 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 applyhelp@lanl.gov 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.

Location: Los Alamos, NM, US

Contact Name: Maskaly, Garry Russell

Organization Name: XCP-8/Verification And Analysis

Email: maskaly@lanl.gov

Job Title: Verification And Analysis Postdoctoral Research Associate

Appointment Type: Postdoc

Req ID: IRC68590