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Postdoctoral Appointee - Developing High-Energy Diffraction Microscopy to Investigate Battery Materials

Argonne

Job Description


The X-ray Science Division (XSD) at the Advanced Photon Source (APS) (https://www.aps.anl.gov/) is involved in developing computational solutions for materials characterization using high-energy x-ray diffraction microscopy (HEDM). XSD supports a wide variety of advanced scientific instruments at the APS by developing new algorithms, AI/ML models and building software frameworks for x-ray techniques of diffraction imaging, as well as variants and combinations of these base techniques.

This project is looking for a postdoctoral appointee to develop AI/ML techniques for automated data analysis of high-energy x-ray diffraction microscopy data. The successful candidate will work to accelerate processing and feature detection of this 3D data, including use of automated morphology quantification. These computational developments are aimed at enabling studies of larger numbers of grains associated with battery materials as an example complex samples - which may contain multiple phases and more extreme forms of strain than typically encountered today.

Candidates with a background in machine learning, computational materials science, computational physics, image processing, inverse problems, applied math and x-ray science are encouraged to apply.

Questions about the posting should be directed to hsharma@anl.gov and okasinski@anl.gov.

Position Requirements

  • PhD obtained within the last 3 years.
  • Experience in developing AI/ML models applied to Materials Science or Physics problems.
  • Knowledge of computation tools for development of software including programming languages such as Python.
  • Skill with machine learning frameworks including scikit-learn, Tensorflow and PyTorch.
  • Knowledge of diffraction, crystallography and microtomography
  • Ability to work in a team environment.
  • Good written and communication skills.

Job Family

Postdoctoral Family

Job Profile

Postdoctoral Appointee

Worker Type

Long-Term (Fixed Term)

Time Type

Full time


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, gender expression, 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 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.

Please note that all Argonne employees are required to be vaccinated against COVID-19. All successful applicants will be required to provide their COVID-19 vaccination verification as a condition of employment, subject to limited legally recognized exemptions to COVID-19 vaccination.


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