Artificial Intelligence and Computer Vision Materials Postdoctoral Research Associate

Position: Artificial Intelligence and Computer Vision for Materials Postdoctoral Research Associate
** What You Will Do*
* ** The Materials Physics and Application Division
-Center for Integrated Nanotechnologies (MPA-CINT) and Theoretical Division-Physics and Chemistry of Materials (T-1) at Los Alamos National Laboratory seeks a highly motivated post-doctoral candidate, in the areas of Computer Vision (CV), Artificial Intelligence (AI), and materials modeling, with an emphasis on characterizing micrographs/radiographs using computer vision and AI. Successful applicants will work in Group CINT of the Materials Physics and Application Division and collaborate with a larger group of scientists and postdocs from across organizations.*
* ** This postdoctoral position is part of a larger project that is focused on developing and utilizing computer vision models for characterizing materials micrographs/radiographs and classify defects, interfaces, and joints. To connect imaging-derived features to materials structure-property relationships. The successful applicant will be expected to integrate with the project team broadly and coordinate with experimentalists. The results are expected to be published in peer-reviewed journals and presented at prominent conferences.

We provide unique opportunities for cross disciplinary collaborations, scientific workshop organization, and conference attendance. Outstanding applicants may be nominated for prestigious LANL-funded fellowships, enabling the pursuit of independent research.*
* ** What You Need*
* ** Minimum

Job Requirements:

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** Demonstrated expertise in one or more of the following:*
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** Advanced CV/AI for materials micrographs, including segmentation/classification of defects, interfaces, and joints (e.g., U-Net, Mask R-CNN, Vision Transformers).*
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** Experience in training Artificial Intelligence models with PyTorch, Tensor Flow*
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** Materials modeling/atomistic simulation experience relevant to mechanics (e.g., MD/DFT, microstructure-property relationships, defect physics, or related modeling approaches).*
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** Strong programming skills in Python (mainly scikit-image, OpenCV)*
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** Demonstrated experience in conducting original scientific research through peer reviewed publication record.*
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** Excellent communication skills (both oral and written).*
* ** Education/

Experience:

A STEM PhD in areas such as Materials Science, Computational Physics, Engineering, or related fields, completed within the last five years or soon to be completed.*
* ** Desired

Qualifications:

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** Solid Background in materials science and engineering.*
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** Experience in training AI and CV models on GPU-accelerated super computers, with large workloads, and familiarity with PyTorch Lightning, Hugging Face, Lang Chain etc.*
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** Ability to adapt to new requirements for projects and be flexible enough to learn new areas of research as needed.*
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** Ability to work effectively as a part of a team in a multi-disciplinary environment and interact with people with a variety of expertise.*
* ** Essential Job Functions (can perform with or without reasonable accommodation):*
* ** Work Environment:*
* *
* Work Location:

The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.*
* ** Note to Applicants:*
* ** Employment Status:
Fulltime or part time options available*
* ** For more information on Postdoc program at LANL, please refer to*
* ** https://(Use the "Apply for this Job" box below).*
* ** Candidates may be considered for a Director's Fellowship and outstanding candidates may be considered for the prestigious Marie Curie, Richard P. Feynman, J. Robert Oppenheimer, or Frederick Reines Fellowships. For general program information, refer to the Postdoc Program web page*
* ** https://*
* ** Contact:
Dr. Avanish Mishra (avanish)*
* ** Dr. Saryu Fensin (saryuj)*
* ** 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…