The Structural Science group (SRS) in the X-ray Science Division (XSD) at the Advanced Photon Source (APS) operates five high-energy diffraction and total scattering beamlines, and has been developing both hardware and software to enable cutting edge research in the physical, chemical, environmental, and materials sciences.

We are looking for a postdoctoral appointee to help develop an autonomous pipeline for comprehensive reduction and analysis of serial 2D X-ray diffraction and scattering data. The pipeline is designed to perform on-the-fly image segmentation and analysis, detecting and characterizing interested events, providing preliminary interpretation that assist researchers in on-site decision making.  The pipeline can significantly reduce human effort in the analysis of large volume of serial 2D data and avoid potential omissions or biases. The project will involve working with Argonne Leadership Computing Facility’s supercomputing resources. The appointee will work closely with scientists from the Computational X-ray Science group (CXS) and the Scientific Software Engineering & Data Management group (SDM) in developing and deploying the pipeline software. The appointee will also have the opportunity to pursue independent research related to X-ray diffraction, total scattering, and grazing incidence scattering. The position offers the option for remote work.

Questions about the posting should be directed to wenqianxu@anl.gov

Position Requirements

Required skills:

• A Ph.D. degree in computer science, physics, applied mathematics, chemistry and/or related disciplines obtained within the last 3 years
• Research coding experience with Python or C/C++
• Ability to work well both in a team environment and by oneself
• Good written and communication skills

Preferred skills:

• Experience with GUI design and development
• Experience with LINUX
• Knowledge of crystallography and x-ray diffraction theory
• Experience with 2D powder XRD data, single crystal data, or grazing incidence scattering data
• Strong math skills

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