Postdoctoral Appointee – Artificial Intelligence and Machine Learning for X-ray Science

Website advancedphoton Advanced Photon Source

The Data Science and Learning (DSL)  and X-ray Science (XSD) divisions at Argonne National Laboratory invites applications for two postdoctoral researchers position for a new project to develop artificial intelligence (AI) and machine learning (ML) for DOE Scientific User Facilities. In particular, our project aims to develop AI/ML models that have been trained to detect specific features in X-ray detector data at the Advanced Photon Source (APS) at Argonne and Linac Coherent Light Source (LCLS) at SLAC. Because such models can run at high speeds, thanks to advances in AI streaming inference accelerators, it becomes feasible to extract salient information from in-flight data, in real time, and thus both enabling fast feedback and reducing downstream computational burden. The two successful candidates will conduct cutting-edge research in data science and deep learning applied to scientific problems in X-ray science. The two candidates will play key roles in developing physics-based AI/ML models, developing workflow building blocks and implement high-speed training on data center AI systems (e.g., Cerebras CS-1 ML accelerator and Argonne’s Aurora exascale supercomputer), end-to-end model training workflows and explore AI accelerators for simulation applications.

We search for two candidates with complementary backgrounds. Ideally, one candidate would come from a computer science background while the other candidate would come from an experimental physical sciences background. The two candidates will have a combination of several of skills and experiences listed below:

  • PhD in a computer science, physical sciences or engineering or related field
  • Comprehensive experience programming in one or more programming languages, such as C, C++, and Python
  • Experience with machine learning methods and deep learning frameworks, including tensorflow, pytorch.
  • Experience in heterogenous programming and GPU programming in the machine learning context is valuable.
  • Software development practices and techniques for computational and data-intensive science problems.
  • Experience with X-ray science techniques (e.g., crystallography)
  • Experience and skills in interdisciplinary research involving computer and material scientists
  • Experience on applied machine learning (e.g., successful projects that used ML to resolve scientific problems)
  • Experience with high-performance computing and/or scientific workflow
  • Ability to provide project leadership
  • 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

As an equal employment opportunity and affirmative action employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Talent Recruitment Programs, as defined and detailed in United States Department of Energy Order 486.1. You will be asked to disclose any such participation in the application phase for review by Argonne’s Legal Department.

Requisition Number: 408837 Location: Lemont, IL
Functional Area: Research and Development Division: XSD-X-Ray Science Division
Employment Category: Temporary 6 Months or Greater Education Required: Not Indicated
Level (Grade): 700 Shift: 8:30 – 5:00

To apply for this job please visit