There are several open positions for graduate students and postdocs. I am looking to hire highly motivated candidates with a strong background in statistical signal/image/information processing, computational modeling, machine learning, or computer vision. If interested, please contact me by e-mail.
In Vision Computation Lab, we employ an interdisciplinary approach to integrate computational sciences and neuroscience, with the goal of solving similar problems in both fields through a concerted effort on two fronts:
Neural coding and computation in biological vision: We aim to understand how our visual system represents the visual world (neural encoding) and reads out relevant perceptual information (neural decoding) by developing computational models using tools from statistics, machine learning, and information theory.
Computational algorithms for artificial vision applications: We aspire to develop signal/image processing and computer vision algorithms applied to visual prostheses and brain computer interface (BCI) systems inspired by computations and strategies from biological vision.
Research in our lab is supported by the National Science Foundation (NSF) and the National Aeronautics and Space Administration (NASA).
Our group belongs to University of Utah’s Department of Electrical and Computer Engineering in the School of Engineering, and the Department of Ophthalmology and Visual Science in the School of Medicine. We are located in the Moran Eye Center on U of U’s upper campus in Salt Lake City, Utah.