Postdoctoral Associate in Data Science

New York University

United States

February 6, 2022

Description

Postdoctoral Associate in Data Science New York University: NYU - NY: Center for Data Science Location

New York, NY

Open Date

Aug 15, 2019

Description

Postdoctoral Research Fellowship: Machine Learning in Healthcare

A postdoctoral position is available in the laboratory of Dr. Carlos Fernandez-Granda at the Courant Institute and Center for Data Science at NYU. The focus of the position is the design of deep-learning methodology for medical applications, with emphasis on domain adaptation, high-dimensional signal processing, and semi-supervised learning. The developed techniques will be applied to automatic quantification of rehabilitation dose in stroke patients from sensor and camera data, in collaboration with the Mobilis Lab in the Department of Neurology at NYU School of Medicine, which aims to enhance motor recovery after stroke.

Qualifications

Candidates should possess a Ph.D. in Computer Science, Electrical Engineering, Data Science, or related disciplines. In addition, they should have a strong background in machine learning, experience with deep learning, solid programming skills and an interest in healthcare. They must have the ability to work independently and with an interdisciplinary team.

Application Instructions

The position is available immediately, and is renewable yearly for up to three years. Interested candidates should submit (1) a CV, (2) a brief cover letter explaining their research experience, how their interests would fit the goals of the project, career plans, and available start date, and (3) the names and contact information of three references familiar with the applicant's research and academic work to cfgranda@cims.nyu.edu

Application Process

This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.

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