Job Summary:
Los Alamos National Laboratory is a multidisciplinary research institution engaged in strategic science on behalf of national security. They are seeking a highly motivated post-doctoral candidate in the areas of Computer Vision, Artificial Intelligence, and materials modeling, focusing on characterizing micrographs and radiographs using these technologies. The successful applicant will collaborate with a team of scientists and postdocs to develop computer vision models for materials characterization and publish findings in peer-reviewed journals.
Responsibilities:
• 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).
• 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.
Qualifications:
Required:
• 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).
• 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.
Preferred:
• 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.
Company:
Los Alamos National Laboratory, a multidisciplinary research institution engaged in strategic science on behalf of national security, is Founded in 1943, the company is headquartered in Los Alamos, USA, with a team of 10001+ employees. The company is currently Late Stage.