The X-ray Science Division (XSD) at Argonne National Laboratory invites applications for a postdoctoral researcher position to develop a materials modeling platform capable of providing real-time actionable information to guide the in-situ experiments conducted at a high-energy x-ray instrument located at the new High Energy X-ray Microscope (HEXM) beamline at 20-ID of the Advanced Photon Source (APS).

The HEXM beamline, coming online as a part of the APS Upgrade project in late April 2024, is envisioned to deliver a suite of characterization techniques capable of imaging polycrystalline materials and their hierarchical features spanning macroscopic to nanoscopic length scales in a single experimental setup. In particular, it will be home to the high-energy X-ray diffraction microscopy (HEDM)[1] and high-energy Bragg Coherent Diffraction Imaging (HE-BCDI) capable of mesoscale and nanoscale characterization, respectively.

We are interested integrating these in situ high-energy X-ray techniques with a modeling platform to understand the effect of irradiation on material strength and accumulation of damage. In particular, we are interested in a modeling platform capable of conducting concurrent simulations based on HEDM using high-performance computing resources at Argonne National Laboratory and providing feedback to guide the in-situ experiment.

This position will work with the Postdoctoral hire under Req 416674 and a multi-disciplinary team of Argonne scientists spanning several divisions including XSD, Materials Science Division, Nuclear Science and Engineering Division, and Applied Materials Division to build the simulation-guided experimental framework capable of executing zoom-in / zoom-out capabilities to investigate the effect of irradiation on structural materials guided by materials simulation.

[1] https://www.osti.gov/biblio/1662034

Position Requirements

Basic Qualifications:

• Ph.D. in material science and engineering or related field obtained within the last three years.
• Experience with using multi-modal imaging data to conduct materials simulation.
• Experience programming in one or more programming languages, such as C, C++, and Python.
• Exceptional communication skills, ability to communicate effectively with internal and external collaborators and ability to work in team environment.
• Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.
• Understand, value, and promote diversity.

Preferred Qualifications:

• Experience and skills in interdisciplinary research involving computer and material scientists.
• Experience with X-ray science techniques (e.g., tomography, diffraction, etc.).
• Experience with high-performance computing and/or scientific workflow.
• Software development practices and techniques for computational and data-intensive science problems.

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