Los Alamos National Laboratory
Applied Mathematics Undergraduate Students
Los Alamos National Laboratory, Los Alamos, New Mexico, us, 87545
Applied Mathematics Undergraduate Students – Los Alamos National Laboratory
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Applied Mathematics Undergraduate Students
role at
Los Alamos National Laboratory .
Overview The Applied Mathematics and Plasma Physics (T-5) group within Los Alamos National Laboratory's Theoretical Division (T-Division) conducts research across topics including fusion science, space plasma science, numerical analysis, computational imaging, optimization, environmental sciences, and the modeling of critical infrastructure. These application areas are unified by research in novel algorithms, numerical methods, artificial intelligence, and machine learning.
What You Will Do We are looking for candidates to join our team in Los Alamos National Laboratory's Theoretical Division (T-Division). The T-5 group supports the laboratory's strategic basic research and national security missions and offers a multidisciplinary environment that fosters collaborations. This position is an educational opportunity for selected candidates to contribute to cutting-edge scientific research and to learn new skills. Selected students must be actively enrolled in an undergraduate program throughout the appointment. Summer positions are also open to graduating undergraduates who have been accepted into graduate programs in Spring 2026 under a separate posting. Selected students will be paired with a mentoring team and will work closely with one of the scientific teams within T-5.
Requirements Minimum Job Requirements:
Enrollment in an Associates or Bachelor's Degree in Physics, Applied Mathematics, Engineering, or a closely related field
A minimum 2.75 out of 4.0 cumulative GPA on undergraduate coursework
Ability to work within a collaborative team environment
Desire to learn new things and openness to work on different projects
Education/Experience:
Current enrollment in an undergraduate 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 Location: Onsite in Los Alamos, NM. All work locations are at the discretion of management.
Benefits and Additional Details LANL benefits include medical insurance, dental and vision, life and disability insurance, parental leave, 401(k) with matching, tuition assistance, flexible schedules, onsite gyms, and relocation packages where applicable.
Additional Eligibility & Compliance Note: Due to federal restrictions, certain nationalities may be prohibited from accessing facilities that support the mission of national security laboratories. This position is subject to pre-employment drug testing and background checks. Some positions may fall under the DOE Human Reliability Program (HRP) and other DOE orders. This role does not require a security clearance. Equal Opportunity: LANL is an equal opportunity employer, and employment practices are based on qualification and merit without regard to protected categories as defined by law. Accommodations are available upon request for individuals with disabilities.
How to Apply and Additional Instructions For full consideration, applicants should include a CV with contact information for 2 references and a one-page cover letter highlighting qualifications and research interests (identify 1 to 3 areas of interest by number from the topical areas listed above). Reviews begin January 6, 2026; to be considered for spring and summer 2026, apply by January 30, 2026. For questions, contact t5jobs@lanl.gov or Melanie Vigil (mlvigil@lanl.gov). Salary ranges from $22.57/hr to $30.53/hr depending on education; see LANL salary structure for details.
Seniority level
Not Applicable
Employment type
Full-time
Job function
Education and Training
Industries
Defense and Space
Manufacturing and Research Services
Referrals increase your chances of interviewing at LANL. This posting contains protected content and essential qualifications for the role.
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Applied Mathematics Undergraduate Students
role at
Los Alamos National Laboratory .
Overview The Applied Mathematics and Plasma Physics (T-5) group within Los Alamos National Laboratory's Theoretical Division (T-Division) conducts research across topics including fusion science, space plasma science, numerical analysis, computational imaging, optimization, environmental sciences, and the modeling of critical infrastructure. These application areas are unified by research in novel algorithms, numerical methods, artificial intelligence, and machine learning.
What You Will Do We are looking for candidates to join our team in Los Alamos National Laboratory's Theoretical Division (T-Division). The T-5 group supports the laboratory's strategic basic research and national security missions and offers a multidisciplinary environment that fosters collaborations. This position is an educational opportunity for selected candidates to contribute to cutting-edge scientific research and to learn new skills. Selected students must be actively enrolled in an undergraduate program throughout the appointment. Summer positions are also open to graduating undergraduates who have been accepted into graduate programs in Spring 2026 under a separate posting. Selected students will be paired with a mentoring team and will work closely with one of the scientific teams within T-5.
Requirements Minimum Job Requirements:
Enrollment in an Associates or Bachelor's Degree in Physics, Applied Mathematics, Engineering, or a closely related field
A minimum 2.75 out of 4.0 cumulative GPA on undergraduate coursework
Ability to work within a collaborative team environment
Desire to learn new things and openness to work on different projects
Education/Experience:
Current enrollment in an undergraduate 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 Location: Onsite in Los Alamos, NM. All work locations are at the discretion of management.
Benefits and Additional Details LANL benefits include medical insurance, dental and vision, life and disability insurance, parental leave, 401(k) with matching, tuition assistance, flexible schedules, onsite gyms, and relocation packages where applicable.
Additional Eligibility & Compliance Note: Due to federal restrictions, certain nationalities may be prohibited from accessing facilities that support the mission of national security laboratories. This position is subject to pre-employment drug testing and background checks. Some positions may fall under the DOE Human Reliability Program (HRP) and other DOE orders. This role does not require a security clearance. Equal Opportunity: LANL is an equal opportunity employer, and employment practices are based on qualification and merit without regard to protected categories as defined by law. Accommodations are available upon request for individuals with disabilities.
How to Apply and Additional Instructions For full consideration, applicants should include a CV with contact information for 2 references and a one-page cover letter highlighting qualifications and research interests (identify 1 to 3 areas of interest by number from the topical areas listed above). Reviews begin January 6, 2026; to be considered for spring and summer 2026, apply by January 30, 2026. For questions, contact t5jobs@lanl.gov or Melanie Vigil (mlvigil@lanl.gov). Salary ranges from $22.57/hr to $30.53/hr depending on education; see LANL salary structure for details.
Seniority level
Not Applicable
Employment type
Full-time
Job function
Education and Training
Industries
Defense and Space
Manufacturing and Research Services
Referrals increase your chances of interviewing at LANL. This posting contains protected content and essential qualifications for the role.
#J-18808-Ljbffr