This NeuroAI project at the exciting crossroads of visual and computational neuroscience, is part of the NIH BRAIN Initiative that seeks to elucidate how the mouse brain processes visual information during active exploration to support visual navigation. Our recent NeurIPS paper highlighted how a multimodal recurrent net can integrate gaze-contingent visual input with behavioral and temporal dynamics to explain V1 activity in freely moving mice. We are now seeking to extend this work to higher-order visual areas (HVAs) in collaboration with the labs of Spencer Smith (UCSB), Michael Goard (UCSB), and Cris Niell (University of Oregon).

What we offer:

• A welcoming, inclusive, and collaborative environment that combines expertise in neuroscience, computer science, and cognitive sciences.
• A fully funded, unionized position, offering a competitive salary and excellent benefits, for a minimum 2-year commitment.
• An opportunity to work with diverse experts and engage with unique neural activity data sets, collected using state-of-the-art techniques.

We are looking for:

• A passionate individual with a solid foundation in visual and computational neuroscience.
• A PhD in (computational) neuroscience, computer science, cognitive sciences, statistics, or a related field
• Strong communication and teamwork skills, with proficiency in programming and statistical analysis

To apply, please email your CV and contacts for 2-3 references to mbeyeler@ucsb.edu.
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