[visionlist] Postdoctoral, predoctoral, and data scientist positions: multi-institution project focused on the neural basis of causal inference

Greg DeAngelis gdeangelis at ur.rochester.edu
Tue Aug 4 11:08:04 -04 2020


*How do our brains interpret sensory inputs to determine how we move 
through the world? How do the objects we perceive in the environment 
shape these interpretations? And what happens when these objects are 
themselves moving? We will address these questions in a 
multi-institution project that examines neural and computation 
mechanisms of causal inference in the context of interactions between 
perception of object motion, self-motion, and depth. We are looking for 
talented and creative scientists to join our effort.*


We are offering multiple positions for postdoctoral fellows, graduate 
research assistants, and a data scientist as part of a BRAIN Initiative 
U19 project focused on the neural mechanisms of causal inference. This 
multi-institution project involves experimental and 
computational/theoretical laboratories at the University of Rochester 
(Drs. Greg DeAngelis and Ralf Haefner), Harvard Medical School (Dr. Jan 
Drugowitsch), New York University (Dr. Dora Angelaki), Baylor College of 
Medicine / Rice University (Dr. Xaq Pitkow), and the University of 
Washington (Dr. Greg Horwitz). The project is highly collaborative and 
interactive, involving high-density electrophysiological recordings in 
both macaque monkeys and mice, optogenetic manipulations in monkeys, 
development of novel dynamical theoretical frameworks, application of 
high-dimensional neural analyses, and establishment of a data analysis 
and storage platform across laboratories.

For the theoretical/computational efforts, candidates are expected to 
have a background in a quantitative field like computational 
neuroscience, machine learning, reinforcement learning, statistics, 
physics, etc.. For the experimental efforts, candidates are expected to 
have a background in neuroscience, experimental psychology, biomedical 
engineering, or a related field, and previous research experience in 
systems neuroscience is highly beneficial. Successful candidates will 
work primarily at one of the participating institutions but will 
collaborate broadly with team members across institutions. Candidates 
should submit their CV, a statement of research interests, and the names 
and contact information for three references to the following job 


Greg DeAngelis
George Eastman Professor
Dept. of Brain and Cognitive Sciences
University of Rochester
321 Meliora Hall
Rochester, NY 14627
Office Phone: (585)275-8677
Mobile Phone: (585)978-1416
Email: gdeangelis at ur.rochester.edu

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