Postdoctoral/Engineering Position in Brain-Machine Interfacing at The Cleveland Clinic


WebsiteThe Cleveland Clinic

We are seeking an outstanding postdoctoral candidate or engineer for research in brain-machine interfacing and restoration of movement after paralysis via electrical stimulation of the peripheral nerves. Our work is part of a larger government funded clinical trial (ReHAB: Reconnecting the Hand and Arm to the Brain) to restore arm function to paralyzed individuals by using their intracortical brain signals to control peripheral nerve stimulators that reanimate their paralyzed muscles. The specific focus of our five-year NIH-funded project (PIs: Drs. Dawn Taylor and Bolu Ajiboye) is to improve brain-controlled limb movements by more effectively modulating limb stiffness (i.e. degree of co-contraction of antagonist muscle) to improve limb stability while also minimizing muscle fatigue.

Research activities include working with healthy non-human primates trained to use their brain signals to control a computer simulation of a paralyzed arm, and spinalcord-injured humans controlling their own paralyzed arm. Ideal candidates will have experience/familiarity in some or all of the following: neural recordings in non-human primates and/or humans; peripheral nerve stimulation for restoration of movement; realtime neural signal processing; writing custom programs to control multiple pieces of hardware and control objects in a virtual environment (matlab skills preferred); computational or biomechanical modeling. An advanced degree in Biomedical Engineering, Computer Engineering, or Neurosciences is preferred but other applicants will be considered.

This is a great opportunity to work with our large interdisciplinary team of researchers, engineers and clinicians to gain a wide range of skills beneficial for your future neural or rehab-related career. Interested candidates should submit their curriculum vitae to Dawn Taylor, PhD ( The Cleveland Clinic is an equal opportunity employer, and we encourage applications from a diverse range of candidates.

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