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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