Postdoc in Machine Learning-based Estimation of Quantitative Biomarkers

The Job

We are looking for a creative post-doctoral candidate to develop machine learning-based estimation methods for parameter mapping, in particular for multi-compartment relaxometry and quantitative magnetization transfer. The successful candidate will develop neural networks for fitting hybrid-state models (see https://www.nature.com/articles/s42005-019-0174-0) to heavily undersampled data, similar to MR fingerprinting, with an emphasis on noise propagation and on learning a compact data representation.

Our research aims at integrated development of biophysical models, pulse sequences, and image reconstructions. The postdoctoral fellow will work with a highly interdisciplinary team, which includes collaboration partners at NYU Courant Institute of Mathematical Science, NYU Center for Data Science, and NYU School of Medicine.


Expected Qualifications

  • PhD in physics, electrical engineering, computer science, or in a related field
  • MRI research experience
  • Programming skills, preferably in MATLAB, Python, and/or C++
  • Experience with PyTorch is a plus

To Apply

Email CV and publication list to Jakob Asslaender, PhD and Florian Knoll, PhD.


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

The position is funded by an NIH R21 grant and will initially be for two years with an option to extend, contingent on performance. Salary is commensurate with experience. NYU School of Medicine offers a competitive benefits package. Subsidized housing in walking distance from the lab is may be available.

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

Latest Updates

11/25/2019 - 12:23
11/12/2019 - 09:50
11/12/2019 - 09:49

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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