Computing and Artificial Intelligence (CAI) Division Postbac jobs in United States
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Los Alamos National Laboratory · 1 day ago

Computing and Artificial Intelligence (CAI) Division Postbac

Los Alamos National Laboratory is a multidisciplinary research institution engaged in strategic science on behalf of national security. The Computing and Artificial Intelligence (CAI) Division is seeking recent graduates for a postgraduate internship, offering mentorship and a challenging project tailored to individual skills and interests.

Security
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Come join the brightest minds at the most innovative R&D facility supporting our national security!
As a CAI postbac, we will provide you with a mentor, a challenging project, and an opportunity to present your work and progress to colleagues
The projects will vary depending on your skills and interests and the Laboratory's current needs
You will work closely with one of four groups within CAI Division
Computational Physics and Methods conducts research in numerical methods and algorithms, physical model development, and software engineering
Information Sciences engages in a wide variety of basic and applied research activities that are directly applicable to core needs
Statistics provides statistical reasoning and rigor for multidisciplinary scientific investigations and the development, application, and communication of cutting-edge statistical sciences research
Applied Computer Science is to be the vanguard for scientific simulations at extreme scale through the co-design of applications, algorithms, and architectures

Qualification

Machine LearningComputational PhysicsNumerical AnalysisStatisticsComputer ScienceComputational Earth SciencePlasma PhysicsAstrophysicsComputational Material ScienceComputational Radiation TransportParticle TransportLeadership Skills

Required

Education or experience in one of the following areas relevant to CAI Division: Computational earth science, Numerical analysis, Plasma physics, Astrophysics, Computational physics, Computational material science, Computational radiation or particle transport, Machine Learning, Statistics, Computer Science
BS/BA Degree from an accredited program in engineering, mathematics, computer science, physics, or related field completed within the past 3 years with a cumulative GPA of at least a 3.2 on a 4.0 scale
A resume and current transcript, showing the above requirements, is required
Applicants must submit a comprehensive cover letter (2 pages or less) that addresses the job requirements of the position, if applicable the desired skills, and education eligibility
Your letter or resume should provide contact information for 2-4 references who are familiar with your capabilities related to this job

Preferred

Strong leadership skills

Benefits

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)

Company

Los Alamos National Laboratory

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Los Alamos National Laboratory, a multidisciplinary research institution engaged in strategic science on behalf of national security, is

H1B Sponsorship

Los Alamos National Laboratory has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (121)
2024 (110)
2023 (97)
2022 (128)
2021 (96)
2020 (73)

Funding

Current Stage
Late Stage
Total Funding
unknown
Key Investors
US Department of EnergyU.S. Department of Homeland Security
2023-08-16Grant
2023-05-19Grant
2023-01-17Grant

Leadership Team

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Alex Delaney
R&D Engineer, Detonation Science and Technology
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