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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Artificial Intelligence and Computer Vision for Materials Postdoctoral Research Associate - **Company:** Los Alamos National Laboratory - **Location:** Los Alamos, NM, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Vision, Computer Programming, Python (Programming Language), OpenCV, Tensorflow, Supercomputing, Pytorch, Convolutional Neural Networks, Scikit Learn, HuggingFace - **Published:** July 13, 2026 - **Apply:** https://dejobs.org/x/x/1D5C5C11FCD2462BB49761E55BCE2092/job/ ## About the Role * 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). 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: * 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. ## Description No Clearance: Position does not require a security clearance. Selected candidates will be subject to drug testing and other pre-employment background checks. 426.2A: This position is subject to DOE Order 426.2A, Personnel Selection, Training, and Qualification Requirements for DOE Nuclear Facilities, which establishes entry-level requirements to ensure candidates selected for specific positions can successfully perform the requirements of the job. New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer. Internal Applicants: Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 (https://int.lanl.gov/policy/documents/P701.pdf) for applicant eligibility requirements. ## Related Videos - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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