[visionlist] Doctoral studies in Vision at NYU
eero at cns.nyu.edu
Sun Nov 11 21:15:32 -05 2018
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)
[http://neuroscience.nyu.edu/graduate-programs/, and http://www.cns.nyu.edu/doctoral/]
* Michael Hawken (also in Psychology) - Neuronal mechanisms of visual perception.
* 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 and Psychology) - Computational vision.
Psychology, Cognition & Perception program (deadline: 1 December)
* Marisa Carrasco (also in CNS) - Visual perception and attention.
* David Heeger (also in CNS) - Computational neuroscience, vision, 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)
* 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)
* David McLaughlin (also in CNS) - Nonlinear wave equations, computational visual neuroscience.
* Aaditya Rangan - Computational neurobiology, numerical analysis.
* Michael Shelley (also in CNS) - Modeling and large-scale computation, computational visual neuroscience.
* Lai-Sang Young (also in CNS) - Dynamical systems, statistical physics, computational modeling and theoretical neuroscience.
Center for Data Science (deadline: 12 December)
* 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.
Biology (deadline: 1 December)
* 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)
* Ned Block (also in Psychology and CNS) - Foundations of consciousness.
* David Chalmers - Philosophy of mind, foundations of cognitive science.
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