Los Alamos National Laboratory
4 days ago
Postdoctoral Research Associate in Agentic AI and Multiscale Atomistic-to-Continuum Modeling Los Alamos National Laboratory in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoctoral research associate position at Los Alamos National Laboratory; funding details, stipend, and benefits are not specified in the post.
Country
United States
University
Los Alamos National Laboratory

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About this position
Los Alamos National Laboratory is recruiting a Postdoctoral Research Associate for research at the intersection of agentic AI and multiscale modeling, spanning atomistic-to-continuum scales.
This opportunity is aimed at candidates interested in combining AI for science with computational modeling to tackle scientific challenges. The post is shared by Jared Keith Averitt, Staff Scientist in the X Theoretical Design – Primary Physics Group at LANL.
The announcement does not list detailed eligibility criteria, funding amount, or deadline in the post text. It does indicate that this is a postdoctoral opening, so applicants should be prepared for post-PhD research work in relevant computational or AI-driven scientific areas.
To apply, use the position link provided in the post and review the full job description on the LANL jobs site. Candidates may also reach out to the poster with questions.
Funding details
Postdoctoral research associate position at Los Alamos National Laboratory; funding details, stipend, and benefits are not specified in the post.
What's required
Applicants should be interested in combining agentic AI with computational modeling to address scientific challenges. The post does not specify degree requirements beyond the postdoctoral level, but the role is for a postdoctoral research associate.
How to apply
Review the full position details at the application link and submit an application through the Los Alamos National Laboratory jobs portal. Interested candidates may also contact the poster with questions.
More information can be found here
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