[visionlist] Postdoctoral position to develop robust AI-based models of human vision and object recognition abilities

[Tong, Frank]

Dr. Frank Tong’s lab at Vanderbilt University seeks to recruit 1 or more postdoctoral fellows to develop and test new deep neural network (DNN) models to better capture the robustness of the human visual system and its ability to recognize highly challenging object images. This work, supported by a newly funded NIH R01 grant, will leverage state-of-the-art AI methods and models, high-field fMRI at 7 Tesla, and advanced psychophysical and computational methods to characterize human behavioral and neural responses to complex visual stimuli.
 
Candidates should have a PhD with expertise in one of more of the following areas: visual psychophysics, object recognition, image processing and analysis, computational modeling and/or deep learning. Candidates should be fluent and versatile at coding in MATLAB and/or Python, ideally with a background in neuroscience, psychology, mathematics, data science, computer science or biomedical engineering. We seek individuals who enjoy working on challenging problems with enthusiasm and creative rigor in a collaborative, synergistic research environment. This position is open to both US citizens and foreign nationals. Start date is flexible.
 
For more information about the lab, see:
http://www.psy.vanderbilt.edu/tonglab/web/Home.html
 
Dr. Tong strives to maintain a diverse scientific team; we therefore seek applications from qualified individuals from all demographics and backgrounds.
 
Applicants should send a short cover letter, CV, and the names and contact information of three references to frank.tong at vanderbilt.edu.