[visionlist] Doctoral studies in Vision at NYU

Eero Simoncelli eero at cns.nyu.edu
Sat Oct 28 12:15:07 -04 2023

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)
* SueYeon Chung (also in the FlatIron Institute) - 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) 
* 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.

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.  
* Grace Lindsay (also in Psychology) - Machine learning models of the brain/mind.
* Mengye Ren (also in Computer Science)  - Machine learning, computer vision, representation learning.

Computer Science (deadline: 5 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.

Mathematics (deadline: 18 December)
* Aaditya Rangan -  Computational neurobiology, numerical analysis.
* Lai-Sang Young (also in CNS) - Dynamical systems, statistical physics, computational modeling and theoretical neuroscience.

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: 7 January)
* Ned Block (also in Psychology and CNS) - Foundations of consciousness.
* David Chalmers - Philosophy of mind, foundations of cognitive science.

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