The Laboratory of Neural Systems is looking for a highly motivated student with an excellent academic background interested to work on a cutting-edge interdisciplinary neuroscience project on the foundations of cognition: the neural basis of compositionality, or the ability to generalize from a small set of rules to a large set of complex behaviors, which is currently unknown. We have developed a new experimental paradigm to discover these neural mechanisms. This paradigm combines a new behavioral task, large-scale neural recordings, and computational modeling. The project involves close collaborations with two leading computational labs, one on computational neuroscience at NYU, and another on artificial intelligence at MIT. The RA will work closely with an enthusiastic postdoc in the lab, and will have many opportunities to engage in the cross-institute collaboration. The RA will design, implement, and analyze results for non-human primate behavior. The RA will build and test computational models of this behavior (e.g., neural networks). The RA will, under proper guidance, present results at scientific meetings, and is expected to co-author a scientific paper. The RA will develop cutting-edge skills at the intersection of neuroscience, computational cognitive science, and artificial intelligence, and will be in a great position to enter and succeed in an excellent graduate program in any of these fields. The RA must feel comfortable lifting instruments weighing up to 40lbs. A commitment of 2 years is expected.
Above all, curiosity and eagerness to learn.
Basic knowledge of programming or motivation to learn (e.g., MATLAB, Python)
Good communication, organization, and people skills.
Excellent work ethic.