[visionlist] Doctoral studies in Vision at NYU

[Eero Simoncelli]

New York University is home to a thriving interdisciplinary community of
researchers in the Visual Sciences.  A listing of faculty, sorted by their
primary departmental affiliation, is given below.  PhD programs are
flexible, allowing students to pursue research across departmental
boundaries. Nevertheless, admissions are handled separately by each
department, and students interested in pursuing graduate studies should
submit an application to the program that best fits their goals and
interests.

Center for Neural Science (CNS) (deadline: 1 December)
 [https://as.nyu.edu/cns/DoctoralProgram.html]
* SueYeon Chung - NeuroAI and geometry, object recognition.
* Michael Hawken (also in Psychology) - Neuronal mechanisms of visual
perception.
* David Heeger (also in Psychology) - Computational neuroscience, vision,
attention.
* Roozbeh Kiani - Vision and decision-making.
* Lynne Kiorpes (also in Psychology) - Development of visual function.
* Wei Ji Ma (also in Psychology) - Perception, working memory, and decision
making.
* Tony Movshon (also in Psychology) - Vision and visual development.
* Robert Shapley (also in Psychology and Biology) - Visual physiology and
perception.
* Eero Simoncelli (also in Mathematics, Data Science, and Psychology) -
Computational vision.

Psychology, Cognition & Perception program (deadline: 1 December)
 [http://as.nyu.edu/psychology/graduate/phd-cognition-perception.html]
* Marisa Carrasco (also in CNS) - Visual perception and attention.
* Michael Landy (also in CNS) - Computational approaches to vision.
* Laurence Maloney (also in CNS) - Mathematical approaches to psychology
and neuroscience.
* Denis Pelli (also in CNS) - Object recognition.
* Jonathan Winawer (also in CNS) - Visual perception and memory.

Computer Science (deadline: 12 December)
  [http://www.cs.nyu.edu/home/phd/]
* Rob Fergus - Computer vision, machine learning, computer graphics.
* Davi Geiger (also in CNS) - Computational vision and learning.
* Yann LeCun (also in CNS) - Machine learning, computer vision, robotics,
computational neuroscience.

Mathematics (deadline: 18 December)
  [http://math.nyu.edu/degree/phd/]
* David McLaughlin (also in CNS) - Nonlinear wave equations, computational
visual neuroscience.
* Aaditya Rangan -  Computational neurobiology, numerical analysis.
* Lai-Sang Young (also in CNS) - Dynamical systems, statistical physics,
computational modeling and theoretical neuroscience.

Data Science (deadline: 12 December)
  [https://cds.nyu.edu/phd-program/]
* Joan Bruna (also in Computer Science) - Machine learning, signal/image
processing.
* Carlos Fernandez-Granda (also in Mathematics) - Optimization methods for
medical imaging, neuroscience, computer vision.
* Grace Lindsay (also in Psychology) - Machine learning models of the
brain/mind.
* Mengye Ren (also in Computer Science)  - Machine learning, computer
vision, representation learning.

Biology (deadline: 1 December)
  [https://as.nyu.edu/biology/academics/phd.html]
* Claude Desplan (also in CNS) - Molecular/genetic basis for development,
particularly color vision circuitry.
* Daniel Tranchina (also Mathematics and CNS) - Information processing in
the retina.

Philosophy (Deadline: 4 January)
  [https://gsas.nyu.edu/bulletin/philosophy/phd-philosophy.html]
* Ned Block (also in Psychology and CNS) - Foundations of consciousness.
* David Chalmers - Philosophy of mind, foundations of cognitive science.
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