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

Company

Argonne National Laboratory
Address , Lemont, 60439, Il
Employment type FULL_TIME
Salary
Expires 2023-07-21
Posted at 11 months ago
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 [email protected] and [email protected].
Position Requirements
  • Knowledge of diffraction, crystallography and microtomography
  • Skill with machine learning frameworks including scikit-learn, Tensorflow and PyTorch.
  • Experience in developing AI/ML models applied to Materials Science or Physics problems.
  • Ability to work in a team environment.
  • PhD obtained within the last 3 years.
  • Knowledge of computation tools for development of software including programming languages such as Python.
  • 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.
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