Connectionists: Postdoctoral positions at NYU

[Carlos Fernandez-Granda]

Two postdoctoral positions are available in the lab of Carlos
Fernandez-Granda <https://cims.nyu.edu/~cfgranda/pages/projects.html> at
the Courant Institute and Center for Data Science at NYU:

- *Machine learning for healthcare*: The focus 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
<http://www.mobilislab.com>in the Department of Neurology at NYU School of
Medicine, which aims to enhance motor recovery after stroke.

Link: https://apply.interfolio.com/66997

- *Machine learning for dynamical systems*: The focus is the design of
machine-learning methodology for the analysis of dynamic systems, with
potential applications to computer vision, material science and molecular
biology.

Link: https://apply.interfolio.com/69741

*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, and solid programming skills.
They must have the ability to work independently and with an
interdisciplinary team.

*Application Instructions*

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.
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