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Jobs · Analyst · New Mexico

Artificial Intelligence and Computer Vision for Materials Postdoctoral Research Associate

Los Alamos National Laboratory · Los Alamos, NM · 1 wk ago
AnalystFull-time

About the role

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.

Responsibilities

  • Work in Group CINT of the Materials Physics and Application Division and collaborate with a larger group of scientists and postdocs from across organizations.
  • Develop and utilize computer vision models for characterizing materials micrographs/radiographs and classify defects, interfaces, and joints.
  • Integrate with the project team broadly and coordinate with experimentalists.
  • Conduct original scientific research through peer reviewed publication record.
  • Present results at prominent conferences.

Requirements

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

    • Qualifications

    • 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.
    • Solid Background in materials science and engineering.
    • Experience in training AI and CV models on GPU-accelerated super computers, with large workloads, and familiarity with PyTorch Lightning, Hugging Face, LangChain etc.
    • Ability to adapt to new requirements for projects and be flexible enough to learn new areas of research as needed.
    • Ability to work effectively as a part of a team in a multi-disciplinary environment and interact with people with a variety of expertise.

    Skills

    • Advanced knowledge in Computer Vision and Artificial Intelligence.
    • Experience with Python, scikit-image, OpenCV.
    • Experience with PyTorch, TensorFlow.
    • Experience with GPU-accelerated computing.
    • Experience with large-scale data processing and model training.
    • Excellent communication and collaboration skills.

    Benefits

    • Unique opportunities for cross-disciplinary collaborations.
    • Scientific workshop organization and conference attendance.
    • Potential for prestigious fellowships.

    Pay

    Details on pay are not specified in the job posting.

    Schedule

    Details on schedule are not specified in the job posting.

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