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Postdoctoral Appointee - Synchrotron Studies of Crystal Defects for AI Modeling

Argonne National Laboratory · Lemont, IL1mo agoverified 21 h ago
$71k – $118k

PhD-level Academic / Postdoc roles on Crosslinked list a median of $97k (60 that show pay).

Lead synchrotron X-ray experiments on defects in thin films and 2D materials for AI-driven microelectronics modeling

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Worth knowing

Why it is interesting. Part of an 'AlphaFold for Microelectronics' initiative using BCDI, XPCS, and ptychography at a top DOE user facility.

Might not be for you. Postdoc fixed-term with a 5-year PhD window; heavy focus on synchrotron methods, not polymer formulation.

Mostly at the benchDeep specialistSmall team PhD-friendlyPostdoc bridgeFirst industry role Publishes regularlyWorks with universitiesRoom for your own research Realistic requirements

Adjacent materials rolemultimodal synchrotron characterization of defects and interfaces in oxides and 2D materials; thin films and heterointerfaces; adhesion and transport behavior

H-1B filings

Argonne National Laboratory filed 67 H-1B labor applications for scientist and engineer roles from Jan to Dec 2025.

Most common titles: Postdoctoral Appointee, Materials Scientist, Computational Scientist. Median filed pay: $77K a year.

From U.S. Department of Labor disclosure data. A filing is a record of past hiring, not a promise about this role, so confirm sponsorship with the employer. Titles and filed pay ·Every employer's filings

Seniority
Postdoc
Work
On-site
Type
Postdoc
Degree
PhD
Experience
0–5 yrs
Industry
Semiconductor
Role
Academic / Postdoc
Materials
Techniques
Bragg coherent diffraction imaging (BCDI)Laue microdiffractionptychographic laminographyX-ray photon correlation spectroscopy (XPCS)in-situ/operando measurementselectron microscopy17 rolesspectroscopy39 roles
Benefits
equity/stock

Role details

The Surface Scattering and Microdiffraction (SSM) group in the X-ray Science Division (XSD) at the Advanced Photon Source (APS), Argonne National Laboratory is seeking Two Postdoctoral Appointees , both focused on multimodal synchrotron characterization of defects and interfaces in oxides and 2D materials. These positions are part of a cross-facility initiative to build an “AlphaFold for Microelectronics” —a physics-informed AI framework that links composition, structure, and operating conditions to defect evolution and functional performance.

The successful candidates will lead experimental campaigns using advanced synchrotron X-ray techniques to generate quantitative, AI-ready datasets that reveal defect-mediated mechanisms governing the stability, adhesion, and transport behavior of thin films and heterointerfaces. The postdoc will lead experimental design, data acquisition, and quantitative reconstruction. The appointees will work within a highly collaborative team spanning multiple DOE user facilities, who are developing complementary microscopy and AI/ML workflows, ensuring that multimodal datasets (X-ray, electron microscopy, and spectroscopy) are well-aligned and interoperable.

These positions offer a unique opportunity to pioneer multimodal, physics-driven synchrotron research that bridges defect dynamics and functionality in emerging microelectronic materials.

Key Responsibilities

Design and perform advanced synchrotron experiments to probe structural, chemical, and dynamic evolution of defects in thin films and heterostructures. Utilize techniques such as Bragg coherent diffraction imaging (BCDI), Laue microdiffraction, ptychographic laminography, and X-ray photon correlation spectroscopy (XPCS) to study strain, dislocation networks, voids, and interfacial morphology. Develop in-situ and operando experiments under electrical, thermal, or mechanical bias to capture real-time defect dynamics. Integrate multimodal datasets and collaborate with AI/ML teams for data fusion, physics-informed model validation, and causal discovery of defect–property relationships.

Publish high-impact research results and present findings at national and international conferences. Position Requirements Ph.D. completed in the past five years or soon-to-be completed in physics, materials science, chemistry, engineering, or a related discipline. Demonstrated expertise in one or more synchrotron X-ray methods such as BCDI, XPCS, ptychography, Laue microdiffraction, or related coherent/imaging techniques. Proven ability to design, conduct, and analyze complex synchrotron experiments. Proficiency in scientific programming (Python, MATLAB, etc.) and quantitative data analysis. Excellent written and oral communication skills.

Ability to work effectively in a collaborative, multi-institutional team environment. 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. Preferred Knowledge, Skills, and Experience Experience with in-situ or operando measurements under electrical or thermal bias. Familiarity with multimodal data correlation or integration with microscopy/spectroscopy datasets. Awareness of AI/ML data structures and metadata practices for interoperable experimental data.

Strong background in materials physics, thin films, or functional oxides/2D materials. Job Family Postdoctoral Job Profile Postdoctoral Appointee Worker Type Long-Term (Fixed Term) Time Type Full time The expected hiring range for this position is $70,758.00-$117,925.00. Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs.

Additionally, comprehensive benefits are part of the total rewards package. Click here to view Argonne employee benefits! As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department. All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis.

Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

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Common questions

What is the salary for the Postdoctoral Appointee - Synchrotron Studies of Crystal Defects for AI Modeling role at Argonne National Laboratory?

The listed annual base salary range is $71K–$118K. This figure is taken from the posting itself.

Where is the Postdoctoral Appointee - Synchrotron Studies of Crystal Defects for AI Modeling role at Argonne National Laboratory based?

This role is based in Lemont, IL.

What degree is required for the Postdoctoral Appointee - Synchrotron Studies of Crystal Defects for AI Modeling role at Argonne National Laboratory?

This role requires a PhD.

How many years of experience does this Postdoctoral Appointee - Synchrotron Studies of Crystal Defects for AI Modeling role require?

The posting calls for 0–5 years of relevant experience.

What polymers or materials does this Postdoctoral Appointee - Synchrotron Studies of Crystal Defects for AI Modeling role work with?

thin films, functional oxides, 2D materials.

What techniques or methods are required for this Postdoctoral Appointee - Synchrotron Studies of Crystal Defects for AI Modeling role?

Bragg coherent diffraction imaging (BCDI), Laue microdiffraction, ptychographic laminography, X-ray photon correlation spectroscopy (XPCS).