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Postdoctoral Appointee-Machine Learning for Large Scale Ptychography

  • Argonne National Laboratory
  • Location: Lemont, IL
  • Job Number: 7061152 (Ref #: 407140)
  • Posting Date: Oct 7, 2019
  • Application Deadline: Open Until Filled

Job Description

The Laboratory for Applied mathematics, Numerical Software, and Statistics (LANS), Mathematics and Computer Science Division, and the Advanced Photon Source invite applicants for a postdoctoral position in the area of utilizing machine learning for large-scale ptychographic experiments, an essential tool for high-resolution and nondestructive material characterization and imaging.  You will investigate and develop semi-supervised, unsupervised, and active learning algorithms to understand object structure from scanning diffraction patterns, facilitate smart data collection, and create optimal experimental designs. 


Candidates interested in advancing developments in deep clustering and active learning for challenging large-scale data analysis in importation applications will find a stimulating environment. Candidates should have or soon be awarded a doctoral degree in applied mathematics, computer science, computational physics, imaging, machine learning, signal processing, or related areas. Knowledge is desired in one or more of machine/deep learning, clustering, scientific computing, mathematical optimization, statistical inversion, inverse problems, phase retrieval, imaging. 

Interested applicants should send a cover letter detailing their research interests and career goals, CV, and contact information for three references.

Click here to apply for the position

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