Connectionists: Postdoctoral fellowship in computational neuroscience at Purdue Engineering
J.G. Makin
jgmakin at gmail.com
Wed Nov 25 13:51:22 EST 2020
tl;dr:
*Graduate students* with backgrounds in engineering/computer
science/related disciplines and an interest in neuroscience are
*encouraged to apply for a postdoctoral fellowship* at Purdue University
to investigate the basis of *sensorimotor computations* using a mixture
of theory and experiments in rodents and humans. *DEADLINE FOR
APPLICATION IS DECEMBER 4th*.
Long version:
The goal of the Lillian Gilbreth Postdoctoral Fellowship Program at
Purdue Engineering is to attract and prepare outstanding individuals
with recently awarded PhDs for a career in engineering academia through
interdisciplinary research, training, and professional development.
Profs. Joseph Makin (ECE) and Maria Dadarlat (BME) are soliciting
applicants to develop a proposal based on the following topic:
How does the brain use sensory (visual, tactile, proprioceptive)
information to move around in and manipulate the world? How are the
"algorithms" underlying these behaviors implemented in neural circuits?
And what can we do when something goes wrong? Answering some of the most
fundamental questions about how the brain works, like these, is now
becoming feasible due to improved electrodes and to the ability to
record with them from human patients. But making sense of experimental
data will require, in addition to expertise in neuroscience, a
theoretical framework and analytical tools, both of which increasingly
come from electrical engineering and computer science.
In this project, the postdoc would collaborate with faculty in the ECE
and BME departments, and with neurosurgeons (our external
collaborators), to devise and test computational theories of neural
function, including: designing experiments, analyzing data, formulating
and simulating mathematical models, and improving algorithms. We are
particularly interested in problems of sensorimotor processing,
including applications to brain-machine interfaces; and the postdoc
would be expected to draw on basic neurobiology, control theory, and
statistical learning theory.
For more information, see:
https://engineering.purdue.edu/Engr/Research/GilbrethFellowships
https://engineering.purdue.edu/Engr/Research/GilbrethFellowships/ResearchProposals/2021-22/sensorimotor-processing-in-the-human-brain-theory-computation-and-experiment
https://engineering.purdue.edu/MakinLab
https://www.purdue.edu/gradschool/pulse/groups/profiles/faculty/dadarlat.html
or contact me (Joseph Makin) directly (jgmakin at purdue.edu).
--
Joseph Makin
Assistant Professor
Electrical and Computer Engineering
Purdue University
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