Postdoc in Deep Learning for Medical Image Analysis

The Job

We are looking for a postdoctoral fellow who is interested in developing deep learning methods to discover imaging biomarkers for predicting the knee osteoarthritis progression from magnetic resonance images. We are interested in working on methods for improving the classification accuracy and exploring human level interpretability of developed methods. The postdoctoral fellow will work as a part of an interdisciplinary team with an expertise in musculoskeletal imaging and machine learning research.


Expected Qualifications

  • PhD (or near completion thereof) in computer science, machine learning, electrical engineering, or a related field.
  • Two years of hands-on experience with deep neural networks
  • Excellent programming skills, preferably in Python
  • Experience with volumetric data

To Apply

Email CV and publication list to Cem M. Deniz, PhD with the email title starting with [PostDoc for Knee OA].

Learn more about the project.

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About Us

Our Center, located in midtown Manhattan, is operated by the research arm of the radiology department of NYU Langone Health. The research division comprises approximately 120 full-­time personnel dedicated to imaging research, development, and clinical translation.

We focus on development of novel methods for rapid continuous comprehensive imaging, including but not limited to deep-learning image reconstruction and interpretation techniques, novel rapid MR acquisition and reconstruction strategies, innovative RF detectors and transmitters, new quantitative biomarkers for MRI and PET, and emerging MRI-based models of tissue microstructure.

We are a highly collaborative group and work in interdisciplinary, matrixed teams that include engineers, scientists, clinicians, technologists, and industry experts. We encourage collaboration across research groups to promote creativity and nurture an environment conducive to breakthrough innovations at the forefront of biomedical research.


Environment

Center for Advanced Imaging Innovation and Research (CAI2R) is operated by the department of radiology at NYU Langone Health. This arrangement brings together a vast amount of human and technological resources in basic magnetic-resonance science (physics, engineering, mathematics) and clinical applications (radiology, medicine, neurology, etc.).


Timeline, Salary, and Benefits

Salary will be commensurate with experience. NYU Langone Health offers a competitive benefits package.

We are committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, or disability.

Sponsors

Philanthropic Support

We gratefully acknowledge generous support for radiology research at NYU Langone Health from:
 
• The Big George Foundation
• Raymond and Beverly Sackler
• Bernard and Irene Schwartz

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