[visionlist] Postdoc position in computational neuroscience and machine learning at Johns Hopkins

[Mick Bonner]

Mick Bonner (Assistant Professor of Cognitive Science, Johns Hopkins) and Brice Ménard (Professor of Physics, Johns Hopkins) are hiring a postdoc to work on scientific explorations at the interface of computational neuroscience and machine learning. The postdoc will join a collaborative team investigating the fundamental principles that govern neural representations in high dimensions, with a focus on vision.



Recent findings show that the neural representations of vision as well as other sensory and cognitive domains are surprisingly high-dimensional. This new perspective implies that traditional dimensionality reduction techniques and small-scale models and datasets do not allow us to fundamentally understand these systems. A new point of view is needed. Interestingly, there appear to be unique and surprising computational phenomena that emerge in high dimensions. These findings call for high-dimensional methods and theories for understanding how vision is implemented in both machine-learning systems and brains. Guided by data (involving fMRI and electrophysiology data) and experiments with deep neural networks, this project is expected to lead to new and deeper insights into the fundamental principles of neural representation.



Details can be found here: https://bonnerlab.org/open-positions



To apply or learn more about the position, send an email to Mick Bonner (mfbonner at jhu.edu<mailto:mfbonner at jhu.edu>) and Brice Ménard (menard at jhu.edu<mailto:menard at jhu.edu>).


Mick Bonner
Assistant Professor
Department of Cognitive Science
Johns Hopkins University
bonnerlab.org<http://bonnerlab.org/>

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