A postdoctoral position focused on developing computational models of visual memory is available in the laboratory of Nicole Rust at the University of Pennsylvania. 

The lab is broadly interested in understanding the neural processing supporting massive-capacity, single-trial visual memories of images. This specific position involves developing classes of computational models that describe where and how visual memories are stored in the brain as well as how the percept of visual familiarity is signaled. Models include extensions of state-of-the-art descriptions of visual processing (e.g. deep neural networks) as well as more dynamic, mechanistic descriptions.  To constrain these models, the researcher will interface with experimentalists in the lab who record and perturb neural signals in monkeys and tree shrews. Opportunities also exist to collaborate with the Simoncelli lab at NYU, the Yamins lab at Stanford, and with other members of the Penn Computational Neuroscience Initiative.   

Candidates should have a Ph.D. in Computational Neuroscience, Computer Science or a related field prior to starting.  The ideal candidate has extensive experience in computational modeling as well as working with behavioral and/or neural data.  To inquire about this position, please submit a CV and a brief statement of research interests to nrust@psych.upenn.edu.

Nicole Rust

Associate Professor

Department of Psychology

University of Pennsylvania

Philadelphia, PA