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