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.

The overall team comprises:

* Pulkit Grover (Information theory, signal processing, circuits, CMU ECE and CNBC)

* Jeffrey Weldon (circuits, devices, CMU ECE)

* Shawn Kelly (circuits, devices, neural implants, CMU ECE and ICES)

* Marlene Behrmann (neuroscience, member of National Academy of Sciences, CMU Psych and CNBC)

* Michael Tarr (neuroscience, head of psychology, CMU Psych and CNBC)

* Dr. Mark Richardson (Director, Adult Epilepsy and Movement Disorders Surgery and Brain Modulation Lab, University of Pittsburgh and CNBC)

The candidate will be expected to interact regularly with the first three, and intermittently with the rest, to lead this project.

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.

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.

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:

* Lead design and implementation of an ongoing high-density neural recording system project at CMU (using off-the-shelf components), and

* (Collaboratively) experimentally validate it, neuroscientifically and clinically.

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.

Interested applicants should send a letter of interest, a CV, and the names and contact information for 3 researchers who can provide a recommendation: pulkit@cmu.edu, jweldon@andrew.cmu.edu, skkelly@andrew.cmu.edu . For further information, please send an email to the three email addresses as well.

The position is available immediately and applications will be considered until the position is filled.