The Kiani (NYU) and Mazzucato (UO) labs are looking for a computational neuroscience postdoc to lead a project on closed-loop behavioral control in primates using a brain-machine interface. The candidate will develop a new theoretical framework to infer causal interactions from sparse sampling of large neural ensembles and deploy this method in the prefrontal cortex of behaving primates. The goal of this project is to innovate a technique for targeted manipulation of the prefrontal circuit and alter the monkey’s cognitive behavior in real-time, a key step toward advanced brain-machine interfaces and novel enhancing or therapeutic interventions in the human brain. The theory position will be co-supervised between the labs of Roozbeh Kiani at New York University and Luca Mazzucato at University of Oregon. The postdoc will be part of the vibrant neuroscience and machine learning communities at the Center for Neural Sciences (NYU) and at the Institute of Neuroscience (UO). The postdoc will be a member of the NSF-funded Accelnet consortium "International network for brain-inspired computation," fostering international collaborations between a large network of computational neuroscience/AI labs. Successful candidates will have a PhD in Physics, Neuroscience, Mathematics, Computer Science, Engineering, Statistics or a related discipline and, preferably, working experience in theoretical neuroscience and deep learning. Our labs strongly advocate for inclusivity in science and we encourage applications from underrepresented groups. For informal inquiries about the position please contact Roozbeh Kiani or Luca Mazzucato. Application reviews will start on Nov. 15 and will continue until the position is filled. Roozbeh Kiani & Luca Mazzucato