Postdoctoral researcher position in deep learning at NYU

We are looking for a postdoctoral researcher to join our efforts in developing deep learning methods for computer vision, especially medical image analysis. The candidates are expected to have strong machine learning skills to work on methodological advances - improving accuracy, robustness, and explainability of deep neural networks.

We are particularly interested in candidates who wish to work on some of the following topics:
- reinforcement learning,
- vision transformers,
- Bayesian neural networks,
- causal inference,
- transfer learning,
- self-supervised learning.

The candidate will be based primarily at the NYU School of Medicine and will also work in close collaboration with researchers at NYU Center for Data Science, NYU Courant, and NYU Abu Dhabi. Regular collaborators of our group include Kyunghyun Cho, Carlos Fernandez-Granda, Farah Shamout, and Sumit Chopra.

Expected qualifications:
- PhD (or near completion) in machine learning or related discipline,
- experience with training deep neural networks for computer vision tasks,
- excellent programming skills,
- ability to work in an interdisciplinary team with members at various levels.

Some examples of our recent work:
- The break-even point on optimization trajectories of deep neural networks,
- An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization,
- Differences between human and machine perception in medical diagnosis,
- Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization,
- Investigating and Simplifying Masking-based Saliency Methods for Model Interpretability.

For full consideration, please apply no later than the 30th of November 2021.
Start date: as soon as possible.

The initial appointment will be for a year, with the option to renew further, depending on performance.

To be considered for this position, please send your CV with a list of publications and a brief motivation letter (3-5 sentences is enough) to k.j.geras@nyu.edu. Please use the string “[deep learning postdoc 2021]” as the subject of the email.

Krzysztof J. Geras

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.