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Job ID: 115747

Postdoc in Machine/Deep Learning, Argonne National Laboratory
Argonne National Laboratory


Date Posted Nov. 14, 2018
Title Postdoc in Machine/Deep Learning, Argonne National Laboratory
University Argonne National Laboratory
Lemont, IL, United States
Department Energy and Global Security - CFC
Application Deadline Open until filled
Position Start Date Available Immediately
 
 
  • Post-Doc
  • Statistics & Actuarial Science
    Mathematics/Applied Mathematics
    Computer/Information Sciences
    Sciences - General
 
 

We invite you to apply for a Postdoctoral Appointee position with our Chemical and Fuel Cycle Technologies Division (CFC).

The successful candidate for this position will perform research in machine/deep learning to advance physics-aware artificial intelligence technology and applications. The successful candidate will work with a team of structural/mechanical engineering researchers to develop physics-guided machine/deep learning based algorithms, including designing machine/deep learning architecture incorporating physics models for broad artificial intelligence applications in computer vision, computational imaging, infrastructure sensing and identification, etc.

Position Requirements: We expect you to have:
- Knowledge and background (Ph.D.) in Applied Mathematics, Computer Science, Statistics, or related fields.
- Experience in machine/deep learning, signal/image processing, computer vision, optimization through scholarly publications or equivalent.
- Programming experience in C, C++, and/or Python.Experience in TensorFlow, Keras, and/or other platforms.
- Strong communication skills both verbal and written.
- Software experiences and techniques for computational science problems and practical applications are preferred, but not required.

To be eligible, candidates must have completed their Ph.D. within the last three years.

Apply at https://www.anl.gov/hr/postdoctoral-applicants (Requisition Number: 405341). Contact Dr. Yongchao Yang (ycyang@anl.gov) for questions about this position.


  • As an equal employment opportunity and affirmative action employer, 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.


 
Please reference AcademicKeys.com in your cover letter when
applying for or inquiring about this job announcement.
 
 

Contact Information

 
  • Yongchao Yang
    Energy and Global Security - CFC
    Argonne National Laboratory
    9700 S Cass Ave.
    Lemont, IL 60439
  •  
  • ycyang@anl.gov

 

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