Postdoc: AI for Adaptive Synchrotron Imaging

Argonne National Laboratory; Lemont (IL); On-site; USD 72,879 - 121,465; Full time

Benefits offered by this job

Comprehensive benefits

Job summary

Argonne National Laboratory is seeking a Postdoctoral Appointee for the Computational Science and Artificial Intelligence Group. This position focuses on developing learning-enabled imaging techniques to advance research in soil microbial communities.

Applicants should hold a Ph.D. and possess strong skills in machine learning, computational imaging, and scientific programming. The role offers a full-time contract with a competitive salary range of $72,879 to $121,465, along with comprehensive benefits.

Qualifications

• Ph.D. completed in the past 5 years or soon-to-be completed.
• Strong expertise in machine learning, computational imaging, computer vision, or signal processing.
• Proficiency in scientific programming and ability to implement research-grade algorithms.

Responsibilities

• Develop learning-enabled algorithms for 3D reconstruction.
• Implement adaptive acquisition strategies to improve image quality.
• Advance multimodal analysis methods to construct coherent models.

Skills

Machine learning

Computational imaging

Computer vision

Signal processing

Scientific programming

Interdisciplinary collaboration

Education

Ph.D. in Electrical Engineering, Computer Science, Applied Mathematics, Physics, or related field

Tools

Modern ML frameworks

Job description

Argonne National Laboratory is seeking a Postdoctoral Appointee for the Computational Science and Artificial Intelligence Group. This position focuses on developing learning-enabled imaging techniques to advance research in soil microbial communities.

Applicants should hold a Ph.D. and possess strong skills in machine learning, computational imaging, and scientific programming. The role offers a full-time contract with a competitive salary range of $72,879 to $121,465, along with comprehensive benefits.