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Argonne National Laboratory Postdoctoral Appointee-Machine Learning for Phase Retrieval in Lemont, Illinois

Postdoctoral Appointee-Machine Learning for Phase Retrieval

Requisition Number: 407140 Location: Lemont, IL

Functional Area: Research and Development Division: MCS-Mathematics and Computer Science

Employment Category: Temporary 6 Months or Greater Education Required: Not Indicated

Level (Grade): 700 Shift: 8:30 - 5:00

The Laboratory for Applied mathematics, Numerical Software, and Statistics (LANS), Mathematics and Computer Science Division, and the Advanced Photon Source (APS) 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. Postdoctoral appointees 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.

Postdoctoral appointees will have access to multidisciplinary collaborations, world-class mathematical libraries, special-purpose hardware for machine learning, and expected deployment of the US’s first exascale supercomputer, and a thousandfold upgrade in brightness of the APS’ x-rays.

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The Laboratory for Applied mathematics, Numerical Software, and Statistics (LANS), Mathematics and Computer Science Division, and the Advanced Photon Source (APS) 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. Postdoctoral appointees 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.

Postdoctoral appointees will have access to multidisciplinary collaborations, world-class mathematical libraries, special-purpose hardware for machine learning, and expected deployment of the US’s first exascale supercomputer, and a thousandfold upgrade in brightness of the APS’ x-rays.

An expected/recent doctoral degree in applied mathematics, computer science, computational physics, imaging, machine learning, signal processing, or related fields. Knowledge is desired in one or more of machine/deep learning, clustering, scientific computing, mathematical optimization, statistical inversion, inverse problems, phase retrieval, imaging.

Applicants should include a cover letter (detailing their research interests and career goals) and contact information for three references.

Additional Information:

The start date for this position is flexible. U.S. citizenship/permanent residency is not required.

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.

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