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Postdoctoral Research Associate

tolgatasdizen – Posted on October 5, 2017 at 3:36 pm –


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Applications are invited for a
postdoctoral research scientist position in the Scientific Computing and
Imaging (SCI) Institute at the University of Utah to work on DHS project
“Machine Learning and Signature Analysis of Nuclear Forensic Data.” The SCI
Institute at the University of Utah conducts original research to establish the
scientific capabilities that govern the design, performance, and integration of
computational tools into scientific platforms. 
This appointment will be for 12 months in duration with the possibility
of extension based on the availability of funding. If interested, please apply
at https://utah.peopleadmin.com/postings/69893

 

As a postgraduate researcher you will
work with Dr. Tolga Tasdizen on machine learning and deep learning techniques
to segment, classify and predict attributes of microscopy images of nuclear
material. You will be part of an interdisciplinary team to realize the full
potential and utility of deep learning for unlocking the potential
revolutionary speed-ups to particle analysis in microscopy datasets. You will also
perform basic research in semi-supervised learning and domain adaptation
techniques and apply them to natural and microscopy images.

Interested applicants should fill out
the application form with a cover letter detailing research interests, CV, and
names and contact information of 3 references.

Minimum Qualifications:

  • PhD
    degree in Computer Science, Electrical Engineering or Physics
  • Strong
    research background in machine learning, image processing and computer vision.
  • Experience
    with programming software (e.g. Python, C/C++, MATLAB)
  • Experience
    with machine learning tools (Tensorflow, Caffe2, PyTorch, MxNet)
  • This project is funded by DHS: All qualified applicants must be a
    US citizen or a US Permanent resident.

Preferred
Qualifications

  • ·         Strong
    background in mathematics and statistics.
  • ·      
    Experience
    with Electron Microscopy.
  • ·       Good
    communication and collaboration skills.


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