Postdoctoral Appointee - AI for Coherent X-ray Imaging jobs in United States
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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.

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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

Deep learning frameworksPython programmingCoherent X-ray techniquesPhysics-Informed Neural NetworksGeometric deep learningActive learningHigh-performance computingVersion control (Git)Real-time analysisScientific communicationTeam collaboration

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

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Argonne National Laboratory conducts researches in basic science, energy resources, and environmental management.

Funding

Current Stage
Late Stage
Total Funding
$41.4M
Key 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

Leadership Team

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Raeanna Sharp- Geiger
COO
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Paul Kearns
Laboratory Director
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Recent News

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