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Applied Mathematics Graduate Students

Job in Los Alamos, Los Alamos County, New Mexico, 87545, USA
Listing for: Los Alamos National Laboratory
Seasonal/Temporary, Apprenticeship/Internship position
Listed on 2026-06-26
Job specializations:
  • Research/Development
    Data Scientist, AI Business & Operations, Mathematics
  • Engineering
    AI Business & Operations, Mathematics
Job Description & How to Apply Below

Overview

We are seeking candidates to join our team in Los Alamos National Laboratory's Theoretical Division (T-Division). The Applied Mathematics and Plasma Physics (T-5) group conducts research across topics including fusion science, space plasma science, numerical analysis, computational imaging, optimization, environmental sciences, and modeling of critical infrastructure. These areas are unified by research in novel algorithms, numerical methods, artificial intelligence, and machine learning.

What

You Will Do

The Applied Mathematics and Plasma Physics group is seeking qualified graduate students to join our research teams. This opportunity allows selected candidates to contribute to cutting-edge scientific research while expanding their skill set. The position is open to students who will be actively enrolled in a graduate program throughout the duration of their appointment. Summer positions are available to graduating undergraduates who have been accepted into graduate programs for Spring 2026.

Selected students must maintain a minimum GPA of 3.2 out of 4.0 in their graduate studies. Most students participate in the program for a 10-12 week period over the summer, with opportunities to participate during spring and fall semesters or year-round. Successful candidates will be paired with a mentoring team and will collaborate with one of the scientific teams within T-5.

What

You Need

Minimum

Job Requirements:

  • Enrollment in a Master’s or Doctoral degree in Physics, Applied Mathematics, Engineering, or a closely related field
  • A minimum 3.2 out of 4.0 cumulative GPA on graduate coursework
  • Ability to work within a collaborative team environment
  • Desire to learn and openness to work on different projects

Education/

Experience:

Current enrollment in a graduate degree in applied mathematics, engineering, physics, or a related field

Desired Qualifications
  • Ability to independently learn the usage of scientific software packages and how to perform analytical calculations
  • Experience in one or more of the following topical areas:
  • Applied Scientific Computing Research
  • Numerical analysis
  • Algorithm development
  • Linear and nonlinear partial differential equations
  • Scientific and Computational Imaging
  • Network analysis, optimization, and control
  • Critical Infrastructure
  • Artificial Intelligence or Machine Learning
Essential Job Functions

Work Environment and

Work Location:

onsite in Los Alamos, NM. All work locations are at management discretion.

Where You Will Work

Located in northern New Mexico, LANL is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our benefits package includes medical, dental, vision, life and disability insurance, parental leave, 401(k) with matching, tuition assistance, flexible schedules, PTO and holidays, onsite gyms, and relocation packages (outside a 50 mile radius).

Additional Details

Directive 206.2: Employment with LANL requires a favorable decision by NNSA indicating suitability; this applies to U.S. citizens. Foreign nationals are subject to related DOE requirements.

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: LANL requires a new-employment drug test and maintains a policy that includes random testing. Marijuana remains illegal under federal law.

Equal Opportunity: LANL is an equal opportunity employer. All employment practices are based on qualification and merit without regard to protected categories, with accommodations available upon request. To request an accommodation, contact applyhelp or  opt. 3.

How to Apply

Instructions to activate or create a LANL Jobs account and general application steps are provided below for applicants.

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