Postdoc: Learning-Enabled Synchrotron Imaging

Aimlroles; United States; On-site; USD 73,000 - 121,000; Full time

Job summary

Argonne National Laboratory invites applications for a Postdoctoral Appointee in the Computational Science and Artificial Intelligence Group within the X-ray Science Division at the Advanced Photon Source. The role centers on developing learning-enabled imaging methods to guide data collection and analyze synchrotron datasets, from real-time X-ray measurements to post-processing reconstruction.

Candidates with backgrounds in electrical engineering, computer science, applied mathematics, or

Qualifications

• Ph.D. 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.
• Proficiency in scientific programming and modern ML frameworks, with the ability to implement and debug research-grade algorithms.
• Demonstrated ability to work on complex data analysis problems and deliver robust computational solutions.
• Excellent communication skills and a strong interest in interdisciplinary collaboration.
• 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.

Responsibilities

• Develop learning-enabled algorithms for 3D reconstruction of noisy and heterogeneous synchrotron datasets.
• Implement adaptive acquisition strategies that guide beamline measurements in real time to increase efficiency and improve image quality.
• Advance multimodal analysis methods that align and fuse structural, chemical, and biological signals to construct coherent models of microbial organization across scales.

Skills

Machine learning

Computational imaging

Computer vision

Signal processing

Scientific programming

ML frameworks

Education

Ph.D. in EE/CS/Applied Math/Physics

Tools

Python

TensorFlow/PyTorch

SciPy

Job description

Argonne National Laboratory invites applications for a Postdoctoral Appointee in the Computational Science and Artificial Intelligence Group within the X-ray Science Division at the Advanced Photon Source. The role centers on developing learning-enabled imaging methods to guide data collection and analyze synchrotron datasets, from real-time X-ray measurements to post-processing reconstruction.

Candidates with backgrounds in electrical engineering, computer science, applied mathematics, or