Postdoctoral Appointee – X-ray Imaging: The Advanced Photon Source (APS) at Argonne National Laboratory is seeking a motivated candidate for a postdoctoral position focused on building a physics-informed AI framework that decodes complex relationships between material defects, functional fields, and device performance, with an emphasis on advanced synchrotron X-ray techniques.
Postdoctoral Appointee – AI for Coherent X-ray Imaging
Designation
Postdoctoral Appointee
Table
| Attribute | Details |
|---|---|
| Research Area | AI for Coherent X-ray Imaging |
| Location | Lemont, IL, USA (near Chicago) |
| Eligibility/Qualification | PhD completed in the past 5 years or soon to be completed in a relevant field of study. |
| Job Description | Develop and apply advanced machine learning models, integrate AI methodologies with X-ray characterization, and publish findings. |
| How to Apply | Submit your application via the Argonne National Laboratory careers page. |
| Last Date to Apply | Not specified in the posting. |
Research Area
The focus of this role is on leveraging state-of-the-art AI methodologies to explore the relationships between material defects and device performance through advanced synchrotron X-ray techniques.
Location
Lemont, IL, USA (near Chicago)
Eligibility/Qualification
- PhD completed within the last five years or expected soon in a relevant discipline.
- Experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX.
- Strong programming proficiency in Python.
- Familiarity with coherent X-ray techniques (e.g., BCDI, ptychography, XPCS).
Job Description
The successful candidate will:
- Develop and apply novel machine learning models, including Physics-Informed Neural Networks (PINNs) and variational autoencoders.
- Analyze multimodal data from various experimental probes like Bragg Coherent Diffraction Imaging (BCDI) and X-ray Photon Correlation Spectroscopy (XPCS).
- Work towards discovering causal relationships and contributing to data infrastructure for large-scale datasets.
- Collaborate with a diverse team and publish findings in high-impact journals.
How to Apply
Candidates can apply by visiting the Argonne National Laboratory careers page. Submit all required documents as per the application guidelines.
Last Date to Apply
The application deadline has not been specified in the posting. It is advisable to apply as soon as possible to ensure consideration.
