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A team of three engineers (Grover, Weldon, Kelly) is seeking an
interdisciplinary postdoctoral fellow for a 1 year position
(extendable, depending on fit and progress) to design, implement and
experimentally test, a high density neural recording system. The
ongoing project will leverage results obtained by the investigators
to disrupt neural recording systems as they exist, providing novel
solutions to long-standing open problems of clinical and
neuroscientific relevance. A successful candidate will be paid
competitively.<br>
<br>
The overall team comprises:<br>
<br>
* Pulkit Grover (Information theory, signal processing, circuits,
CMU ECE and CNBC)<br>
<br>
* Jeffrey Weldon (circuits, devices, CMU ECE)<br>
<br>
* Shawn Kelly (circuits, devices, neural implants, CMU ECE and ICES)<br>
<br>
* Marlene Behrmann (neuroscience, CMU Psych and CNBC)<br>
<br>
* Michael Tarr (neuroscience, head of psychology, CMU Psych and
CNBC)<br>
<br>
* Dr. Mark Richardson (Director, Adult Epilepsy and Movement
Disorders Surgery and Brain Modulation Lab, University of Pittsburgh
and CNBC)<br>
<br>
The candidate will be expected to interact regularly with the first
three, and intermittently with the rest, to lead this project.<br>
<br>
Preferred skills: System-level design and hardware implementation
experience is a must. Experience in board design will be helpful.
Expertise in MATLAB, circuits, neuroengineering/neuroscience, signal
processing, information theory, devices, is helpful but not
necessary.<br>
<br>
The team also includes one Ph.D. and six undergraduate students
working on information theory and circuit design for these systems,
and actively collaborates with faculty in psychology and
neuroscience, and clinicians.<br>
<br>
The fellow is expected to focus on system design, implementation,
and testing. The concepts and implementation developed by our group
lay the foundation for this project. Within one year, the fellow is
expected to:<br>
<br>
* Lead design and implementation of an ongoing high-density neural
recording system project at CMU (using off-the-shelf components),
and <br>
<br>
* (Collaboratively) experimentally validate it, neuroscientifically
and clinically. <br>
<br>
As such, this is a challenging yet accomplishable postdoctoral
position providing a unique interdisciplinary opportunity to the
applicants. Applicants should hold a PhD. Those with a mix of
board-design, circuits-design, and/or signal
processing/optimization/bioengineering background, with interest in
neuroscience/neuroengineering/bioengineering, are especially
encouraged to apply. <br>
<br>
Interested applicants should send a letter of interest, a CV, and
the names and contact information for 3 researchers who can provide
a recommendation: <a moz-do-not-send="true"
href="mailto:pulkit@cmu.edu">pulkit@cmu.edu</a>, <a
class="moz-txt-link-abbreviated"
href="mailto:jweldon@andrew.cmu.edu"><a class="moz-txt-link-abbreviated" href="mailto:jweldon@andrew.cmu.edu">jweldon@andrew.cmu.edu</a></a>, <a
class="moz-txt-link-abbreviated"
href="mailto:skkelly@andrew.cmu.edu"><a class="moz-txt-link-abbreviated" href="mailto:skkelly@andrew.cmu.edu">skkelly@andrew.cmu.edu</a></a> .
For further information, please send an email to the three email
addresses as well.<br>
<br>
The position is available immediately and applications will be
considered until the position is filled.
<pre class="moz-signature" cols="72">--
Marlene Behrmann, Ph.D
George A. and Helen Dunham Cowan Professor of Cognitive Neuroscience
Center for the Neural Basis of Cognition and
Department of Psychology
Carnegie Mellon University, Pittsburgh, USA
(412) 268-2790
<a class="moz-txt-link-abbreviated" href="mailto:behrmann@cmu.edu">behrmann@cmu.edu</a></pre>
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