Postdoctoral Fellow in Breast Cancer Diffusion MRI

The Job

We invite applications for a postdoctoral fellowship in quantitative breast cancer imaging. The postdoctoral fellow will join a multi-disciplinary team of physicists, image processing scientists, radiologists, oncologists, and surgeons in order to work on breast cancer MRI with joint supervisors Eric Sigmund, PhD (at NYU Langone Health) and Sunitha Thakur, PhD (at Memorial Sloan Kettering Cancer Center).

The multi-site project aims to translate a technique of breast cancer characterization called intravoxel incoherent motion (IVIM) for reliable use on a broad scale.


Job Responsibilities

Resposibilities will include and are not limited to:

  • acquisition and analysis of advanced diffusion-weighted MRI of breast cancer tissue
  • assistance in design and operation of physical phantoms for breast IVIM
  • performance of simulations to compare signal processing approaches for IVIM
  • presentation of results at conferences and in peer-reviewed publications


Required Qualifications

Candidates should have (or expect to shortly receive) a PhD in a relevant field, such as physics, engineering, mathematics, etc. Candidates should have experience with relevant programming languages (C or C++, Matlab, Python or similar). Last, candidates must be able to work independently and collaborate within a multidisciplinary team.


Preferred Qualifications

Experience in breast imaging, diffusion MRI or both is highly desirable. A record of peer-reviewed journal publications is recommended. Motivated individuals will have the opportunity to engage in independent research within the context of the study.


About Us

Our Center is operated the radiology department of NYU Langone Health, headquartered in midtown Manhattan. The research division comprises approximately 150 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 initial appointment will be made for one year, with the intention to renew, depending on mutual agreement. The position is with NYU Langone and involves collaboration with the team led by Dr. Thakur at MSKCC.

NYU Langone Health offers competitive pay and generous benefits, including subsidized housing, depending on availability. 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.


To Apply

Email a PDF document containing a CV, a short statement of research interests in the context of prior work, and contact information of two or three references to Eric Sigmund, PhD (eric.sigmund@nyulangone.org) and Sunitha Thakur, PhD (thakurs@mskcc.org).

Sponsors

Latest Updates

05/13/2021 - 16:37
05/10/2021 - 10:05
04/12/2021 - 15:19

Philanthropic Support

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

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