Machine Learning Research Scientist

The Job

We are looking for a highly motivated Research Scientist to join our interdisciplinary group in developing novel machine learning methods for medical imaging. The Research Scientist will develop new research directions, building upon our ongoing research on machine learning methods for accelerated MRI [1, 2, 3], breast cancer detection [4, 5, 6] and musculoskeletal [7] and brain image [8, 9, 10] analysis. We are especially interested in candidates who want to work on model explainability, robustness, and uncertainty.


Expected Qualifications

  • Passion for research on deep learning for medical imaging
  • PhD in computer science, medical imaging, mathematics, physics, electrical engineering or a related discipline; an exception can be made for an extraordinary candidate without a PhD
  • Advanced skills in Python and Tensorflow or PyTorch
  • Advanced knowledge of machine learning and deep learning
  • Advanced skills in using Linux
  • Experience working with medical imaging data is a big plus

Responsibilities

  • Development of novel machine learning methods for medical imaging
  • Collaboration with other research scientists, faculty members, postdoctoral fellows, and graduate students at our Center
  • Other responsibilities, as assigned

To Apply

Send your CV with a short motivation letter to Yvonne Lui, MD, at yvonne.lui@nyulangone.org and to Krzysztof Geras, PhD, at k.j.geras@nyu.edu by March 29, 2020. In the subject of the email write:

[machine learning research scientist]

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 130 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

Apply no later than February 29, 2020. We expect the hired candidate to start during the summer of 2020. The initial hire is for one year, with an intention to renew.

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.


Recent Examples of Our Work

Sponsors

Latest Updates

02/27/2020 - 15:47
02/27/2020 - 15:20
02/27/2020 - 15:20

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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