Argonne National Laboratory · 5 days ago
Postdoctoral Appointee - AI for Coherent X-ray Imaging
Argonne National Laboratory is a leading research facility that invites applicants for a postdoctoral position focused on building a physics-informed AI framework for X-ray imaging. The role involves developing machine learning models to analyze complex data relationships in electronic materials, contributing to advanced synchrotron X-ray techniques, and collaborating with an interdisciplinary team.
EnergySecuritySocial Impact
Responsibilities
Create AI models for real-time data analysis
Enable autonomous experiments through active learning and curiosity-driven exploration
Contribute to a robust data infrastructure that makes large-scale, multimodal datasets FAIR and AI-ready
Publish findings in high-impact journals
Present at major international conferences
Work within a large, interdisciplinary team of experts from multiple national laboratories and universities
Qualification
Required
PhD completed in the past 5 years or soon to be completed in a relevant field of study
Experience with deep learning (DL) frameworks such as PyTorch, TensorFlow, or JAX
Strong programming proficiency in Python
Demonstrated experience with coherent X-ray techniques (e.g., BCDI, ptychography, XPCS) and associated data analysis
Ability to model Argonne's core values of impact, safety, respect, integrity, and teamwork
Interpersonal skills, oral and written communication skills, and ability to interact with people at all levels both within and outside the laboratory
Preferred
Experience with scientific AI techniques like Physics-Informed Neural Networks (PINNs) and geometric deep learning
Experience with active learning, agentic workflows, or other methods for autonomous experimentation
Familiarity with high-performance computing (HPC) environments and large-scale data management
Experience with version control (e.g., Git) and collaborative software development practices
Experience with real-time analysis and instrument control at a user facility
Skill in both written and oral scientific communication
A strong track record of working collaboratively in a diverse, team-oriented research environment
Benefits
Comprehensive benefits are part of the total rewards package
Company
Argonne National Laboratory
Argonne National Laboratory conducts researches in basic science, energy resources, and environmental management.
Funding
Current Stage
Late StageTotal Funding
$41.4MKey Investors
Advanced Research Projects Agency for HealthUS Department of EnergyU.S. Department of Homeland Security
2024-11-14Grant· $21.7M
2023-09-27Grant
2023-01-17Grant
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