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Argonne National Laboratory

Just Landed

Postdoctoral Appointee in AI for Synchrotron Imaging Argonne National Laboratory in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full-time postdoctoral appointment at Argonne National Laboratory with an expected hiring range of $72,879.00-$121,465.00 and comprehensive benefits.

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Country

United States

University

Argonne National Laboratory

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Keywords

Computer Science
Environmental Science
Signal Processing
Electrical Engineering
Biology
Mathematics
Artificial Intelligence
Computer Vision
Tomography
Soil Microbiology
Computational Imaging
Inverse Problem
Physics
ML

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About this position

Postdoctoral opportunity in AI for Synchrotron Imaging at Argonne National Laboratory (Lemont, Illinois, USA).

This postdoctoral appointee position is hosted in the Computational Science and Artificial Intelligence Group within the X-ray Science Division of the Advanced Photon Source (APS). The project aims to advance learning-enabled imaging methods for challenging synchrotron datasets, with a strong focus on computational imaging, machine learning, computer vision, and signal processing.

The research context is highly interdisciplinary. A major motivation is to study soil microbial communities and their spatial organization in complex soil environments, using APS’s upgraded synchrotron capabilities to image structures from nanometers to millimeters. The successful candidate will work across the full experimental pipeline: developing algorithms for noisy 3D reconstruction, designing adaptive acquisition strategies for real-time beamline measurements, and creating multimodal analysis methods that fuse structural, chemical, and biological signals.

Eligible applicants should have a PhD completed within the last 5 years or be soon-to-complete it in Electrical Engineering, Computer Science, Applied Mathematics, Physics, or a related field. Strong programming skills and experience with modern ML frameworks are expected. Preferred experience includes synchrotron or tomographic imaging, inverse problems, physics-informed machine learning, or scientific imaging in biology, environmental science, or materials science.

This is a full-time, long-term fixed-term postdoctoral appointment. The posting lists an expected hiring range of $72,879 to $121,465 per year and notes that comprehensive benefits are included. Application is through the Argonne Careers Workday posting.

Funding details

Full-time postdoctoral appointment at Argonne National Laboratory with an expected hiring range of $72,879.00-$121,465.00 and comprehensive benefits.

What's required

PhD completed in the past 5 years or soon-to-be completed in Electrical Engineering, Computer Science, Applied Mathematics, Physics, or a related field. Strong expertise in machine learning, computational imaging, computer vision, or signal processing is required, along with proficiency in scientific programming and modern ML frameworks. Candidates should demonstrate the ability to work on complex data analysis problems, deliver robust computational solutions, communicate effectively, and collaborate interdisciplinarily. Preferred experience includes synchrotron or tomographic imaging datasets, inverse problems or physics-informed machine learning, and scientific imaging applications in biology, environmental science, or materials science.

How to apply

Apply through the Argonne Careers posting using the job link. Review the full job details and submit the application via the Apply button on the Workday page.

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