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 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 (Xiao-Jing Wang), and another on artificial intelligence at MIT (Josh Tenenbaum). The RA will work closely with an enthusiastic postdoc in the lab (Lucas Tian), and will have many opportunities to engage in the cross-institute collaboration. The RA will design, implement, and analyze results for NHP behavior. The RA will perform large-scale neural recording studies. 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. A commitment of 2 years is expected.
Running and recording NHP behavioral studies
Analysis and computational modeling of neural and behavioral data
Various animal-care tasks
Presenting and writing up results in lab and scientific meetings
Producing figures for an upcoming publication
Other tasks related to the project as needed
Above all, curiosity and eagerness to learn
Good communication, organization, and people skills
Excellent work ethic
Basic knowledge of programming or motivation to learn (e.g. MATLAB, Python)
The Rockefeller University does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy, gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service or other non-merit factor. All qualified applicants will receive consideration for employment without regard to the characteristics listed above.
The salary of the finalist selected for this role will be set based on various factors, including but not limited to organizational budgets, qualifications, experience, education, licenses, specialty, and training. The hiring range provided represents The Rockefeller University's good faith and reasonable estimate of the range of possible compensation at the time of posting.