Multilevel and Multifidelity Machine Learning Postdoc

What You Will Do

We are seeking a creative, hard-working postdoc to join our team in The Applied Mathematics and Plasma Physics (T-5) group within Los Alamos National Laboratory's Theoretical Division (T-Division). The successful applicant will assist in the development of multilevel and multifidelity machine learning architectures and training algorithms. Experience in related fields of research is desired, and the successful applicant will contribute to algorithm and theory development, implementation, and the application of new methods to complex multiphysics problems. The position is for two years.

T-Division employs about 300 scientists, including many postdoctoral associates and graduate students, and provides a unique and engaging environment that fosters multi-disciplinary collaborations to support the laboratory's strategic basic research and national security missions. The Applied Mathematics and Plasma Physics (T-5) group within T-Division conducts research across a wide variety of topics including fusion science, space plasmas, numerical analysis, computational imaging, optimization, and the modeling of critical infrastructure (gas pipelines and electrical grids). These application areas are tied together by research in novel algorithms, numerical methods, and machine learning. The successful candidate will join a dynamic and interdisciplinary team that is working on problems of strategic national importance involving simulating high-dimensional, complex, multiscale phenomena. Many LANL projects address the nation's most challenging safety and security problems, and include extensive research related to high-performance computing. Access will be provided to state-of-the-art computing facilities at LANL.

What You Need

Minimum Job Requirements:
  • Experience designing, implementing, and training machine learning models.
  • Demonstrated experience in conducting original scientific research through peer reviewed publication record.
  • Creative problem-solving skills and the ability and willingness to engage in new fields of research.

Education/Experience: PhD in Applied Math, Statistics, or Computational Sciences within the past five years (or soon to be completed).

Desired Qualifications:
  • Expertise in one or multiple of:
    • o Stochastic optimization
    • o Analysis of machine learning methodologies
    • o Multilevel methods
  • Expertise in computational tools (python, git, command line, jax/pytorch/tensorflow, etc.)


Salary: Competitive salaries are based on the date the PhD degree requirements were completed or the degree was awarded. Starting salary for a new graduate is currently $94,500. For more information go to Postdoc Program website at https://www.lanl.gov/careers/career-options/postdoctoral-research/index.php

Work Environment:
Work Location: The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management
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 (PTO and holidays)
  • Onsite gyms and wellness programs
  • Extensive relocation packages (outside a 50 mile radius)
Additional Details

Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2. Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.

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. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.

Internal Applicants: Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 for applicant eligibility requirements.
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.
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How to Apply: How to Apply: Login to Your Account to Complete the Application Process
  • Click the Vacancy Name number (in blue) to view any job's details.
  • Click Apply or Add to Basket to apply later. Tip: To apply for a job or save your basket, you must have a LANL jobs account.
  • If you experience any technical issues, please email applyhelp@lanl.gov for assistance.