ongoing project to develop a next-generation neuroprosthesis
(brain-machine interface). The project involves the development of a
multiscale brain model for bidirectional communication with the real
cortex and thalamus during sensorimotor tasks. This offers a unique
opportunity to link theoretical modeling work with experimental data.
The candidate will receive training in a wide range of interdisciplinary
skills, from machine-learning algorithms and realistic neuronal network
modeling to electrophysiological data analysis. The position is based at
SUNY Downstate's Neurosimulation Laboratory
(http://it.neurosim.downstate.edu), in collaboration with teams across
12 universities, as part of DARPA's Reorganization and Plasticity to
Accelerate Injury Recovery (REPAIR) project. For more information, see:
http://it.neurosim.downstate.edu/repair.pdf
Candidates should have a strong background in a brain-related field
(computational neuroscience, neuroengineering, neurorobotics, or
neurophysiology) and should be fluent in at least one programming
language (C or Python preferred). Familiarity with Linux and version
control systems is also desirable.
Applicants should contact Cliff Kerr (cliffk@neurosim.downstate.edu)
with a CV and cover letter. SUNY is an equal opportunity employer.
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