Connectionists: Postdoctoral researcher position in deep learning for medical image analysis at NYU

[Krzysztof Jerzy Geras]

We are looking for a postdoctoral researcher to join our efforts in
developing deep learning methods for early diagnosis of breast cancer with
different medical imaging modalities, including mammography, digital breast
tomosynthesis, breast ultrasound and breast MRI. The candidates are
expected to have strong machine learning and computer vision skills to work
on methodological advances improving accuracy, robustness, and
explainability of deep neural networks for this application.

The candidate will be based primarily at the NYU School of Medicine
(Krzysztof J. Geras, Linda Moy and S. Gene Kim) and will work in close
collaboration with the NYU Center for Data Science (Kyunghyun Cho).

Expected qualifications:

- PhD (or near completion) in machine learning or related discipline

- Experience with deep neural networks for computer vision

- Excellent programming skills

- Ability to work in an interdisciplinary team with members at various
levels

- Prior experience in medical imaging is a plus but is not essential

Some examples of our recent work:

- Wu et al., “Deep Neural Networks Improve Radiologists' Performance in
Breast Cancer Screening” (http://arxiv.org/abs/1903.08297),

- Shen et al., “Globally-Aware Multiple Instance Classifier for Breast
Cancer Screening” (http://arxiv.org/abs/1906.02846),

- Żołna et al., “Classifier-agnostic saliency map extraction” (
http://arxiv.org/abs/1805.08249),

- Fevry et al., “Improving localization-based approaches for breast cancer
screening exam classification” (http://arxiv.org/abs/1908.00615),

- Park et al., “Screening Mammogram Classification with Prior Exams” (
http://arxiv.org/abs/1907.13057),

- Wu et al., “Breast density classification with deep convolutional neural
networks” (http://arxiv.org/abs/1711.03674),

- Geras et al., “High-resolution breast cancer screening with multi-view
deep convolutional neural networks” (http://arxiv.org/abs/1703.07047) .

Please apply no later than the 20th of December 2019.

Start date: As soon as possible.

The position is supported by an NIH grant. The initial appointment will be
for a year, with the option to renew further. We offer a competitive
salary, adjusted to the costs of living in New York, and subsidized housing
provided by the NYU School of Medicine.

To be considered for this position, please send your CV with a list of
publications and the contact details for two references to:
k.j.geras at nyu.edu. Please use the string “[postdoc, deep learning for
breast cancer]” as the subject of the email.

We look forward to hearing from you!

Krzysztof J. Geras,

Kyunghyun Cho,

Linda Moy,

S. Gene Kim

NYU is an Equal Opportunity Employer and is committed to a policy of equal
treatment and opportunity in every aspect of its recruitment and hiring
process without regard to age, alienage, caregiver status, childbirth,
citizenship status, color, creed, disability, domestic violence victim
status, ethnicity, familial status, gender and/or gender identity or
expression, marital status, military status, national origin, parental
status, partnership status, predisposing genetic characteristics,
pregnancy, race, religion, sex, sexual orientation, unemployment status,
veteran status, or any other legally protected basis. Women, racial and
ethnic minorities, persons of minority sexual orientation or gender
identity, individuals with disabilities, and veterans are encouraged to
apply for vacant positions at all levels.
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