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Physics Informed Machine Learning Jobs in New Mexico

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Physics Informed Machine Learning information

What are the key skills and qualifications needed to thrive in the Physics Informed Machine Learning position, and why are they important?

To thrive in Physics Informed Machine Learning, you need a solid background in physics, strong mathematical and statistical skills, and experience with machine learning algorithms, typically supported by an advanced degree in a relevant field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and familiarity with numerical simulation tools are commonly required. Effective problem-solving, clear communication, and the ability to collaborate with interdisciplinary teams make a significant impact in this role. These capabilities are essential for developing robust, interpretable machine learning models that leverage physical laws to solve complex, real-world problems.

What are the typical challenges faced by professionals working in Physics Informed Machine Learning roles?

Professionals in Physics Informed Machine Learning often encounter challenges integrating complex physical theories with advanced machine learning models, requiring deep domain knowledge and strong technical skills. Balancing model accuracy with computational efficiency and ensuring that models are both interpretable and generalizable can be demanding. Collaboration with domain experts, data scientists, and engineers is common, as projects often span multiple disciplines. Successfully navigating these challenges provides valuable experience and is highly regarded, often leading to further career advancement in research, engineering, or leadership positions.

What is a Physics Informed Machine Learning job?

A Physics Informed Machine Learning (PIML) job involves developing AI models that integrate physics-based principles to improve accuracy, interpretability, and generalization. Professionals in this role use machine learning techniques alongside domain knowledge in physics, engineering, or applied sciences to solve complex problems in areas like fluid dynamics, materials science, and climate modeling. Responsibilities often include designing algorithms, implementing simulations, and validating results against experimental or real-world data. Employers typically seek expertise in deep learning, numerical methods, and programming languages like Python.

What are popular job titles related to Physics Informed Machine Learning jobs in New Mexico? For Physics Informed Machine Learning jobs in New Mexico, the most frequently searched job titles are:
What job categories do people searching Physics Informed Machine Learning jobs in New Mexico look for? The top searched job categories for Physics Informed Machine Learning jobs in New Mexico are:
Infographic showing various Physics Informed Machine Learning job openings in New Mexico as of June 2026, with employment types broken down into 6% Internship, and 94% Full Time. Highlights an 100% In-person job distribution.
Computational Physics Post-Bachelor Student

Computational Physics Post-Bachelor Student

Los Alamos National Laboratory

Los Alamos, NM • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Los Alamos National Laboratory rating

9.2

Company rating: 9.2 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

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Job description

Description
Job Title Computational Physics Post-Bachelor Student
Location Los Alamos, NM, US
Organization Name AOT-IC / Instrumentation & Controls
Minimum Salary
Maximum Salary
What You Will Do
The Adaptive Machine Learning team is seeking a post-bachelor student in computational physics. The team is part of the Accelerator Operations and Technology (AOT) Division within the Instrumentation and Control (IC) Group. Our work focuses on research and development to improve accelerator operations through machine learning, control theory, and physics-based simulation. Beyond research and development, the team supports the implementation of practical, operationally relevant solutions for the Los Alamos Neutron Science Center (LANSCE).
The successful candidate will contribute to the computational aspects of this research. In particular, the candidate will support efforts to improve accelerator optimization and tuning by modernizing existing software, applying physics-constrained machine learning, or developing differentiable physics simulations.
The position is for one year, renewable for a second year.
Please apply before July 15 th , 2026.
What You Need
Minimum Job Requirements:
  • Proficiency in Python.
  • Able to write clear, documented code.
  • Able to communicate effectively.
  • Able to perform research independently.
  • Experience working in a research environment.

Desired Qualifications:
  • Demonstrated proficiency in Python and C++; experience with GPU computing is a plus.
  • A good understanding of classical mechanics and electromagnetism.
  • Knowledge of the physics of particle beams and/or plasmas.
  • Experience in nuclear, particle or accelerator physics research.
  • Experience with machine learning and/or differentiable physics simulations.

Education/Experience
  • Must have a bachelor's degree in physics, mathematics, computer science, or related field at the time of starting the position from an accredited university. Degree must have been obtained within 3 years of hire date.
  • Must have graduated with a cumulative GPA of 2.75 or above on a 4.0 scale (or equivalent).
  • Not to have accepted or be enrolled in a graduate program at time of hire.

Work Environment:
Work Location: This position is located in Los Alamos, NM with the potential for a hybrid work arrangement (partially onsite/partially offsite) from a location within 2 hours ground commute of this location. Reporting onsite will be regularly required. Hybrid is at the discretion of management and can change at any time with appropriate notice. Some interns may work a 9/80 schedule at the discretion of management and in accordance with the Student Programs Office guidebook.
Note to Applicants:
Required Application Materials
  • Current resume
  • Current official transcripts
  • Personal statement of interest (not to exceed one page)

Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.
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 childbirth 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 Detail
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.
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. 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. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, 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, state, and local 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 (505)-664-6947.
Employment Status Full Time
Appointment Type UGS
UGS

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