Neural Bypass Lab explores ways to restore movement and sensory feedback in paralyzed study participants. We develop technology that decodes and re-routes signals from the brain to the muscles with applications to spinal cord injury, stroke, traumatic brain injury, and other neurological conditions. Please click here to learn more about the dept.
Each successful candidate will work as part of a multidisciplinary team to determine the nature of neural control over muscle and other functions of the body, the parts of the brain that regulate those functions, and the signals that the brain receives. Projects will focus on determining which neural pathways exert control, the types of signals they use, and how these signals can be manipulated to treat conditions such as paralysis, stroke, and Crohn's disease, Alzheimer's disease, diabetes and others.
As an Electrical Engineer, you will perform investigative research in the field of neuro-modulation and device development. You will test and evaluate implantable devices developed for neuro-stimulation and recording in the brain and nerves. You will perform benchtop and in vitro/in vivo experimental studies and publish/present data. You will collaborate with Investigators and Scientists in facilitating scientific research and participate in various types of institute and community activities.
Provide research and technical expertise in the design, selection of material/components, development, testing, and evaluation of novel implantable neuromodulation devices.
Analyze electrophysiological and electrochemical responses to neuromodulation.
Perform experiments, collects data, analyzes results, drafts engineering reports, and present to leadership for review.
Direct and perform engineering, computer science and statistical studies for select research projects.
Maintain equipment and infrastructure in the bioelectronics laboratory.
Attend scientific and technical meetings, build and maintain databases, work with computer software, and integrate systems, as needed.
Participate in the writing of abstracts, manuscripts and grant applications.
Perform related duties, as required.
Master's Degree in Engineering, Computer Science or Statistics. Doctorate Degree, preferred.
Minimum of three (3) years related experience including signal processing, analog/digital filter design, spectral analysis, and wavelets; electrical stimulation, neuro-stimulation, neural recording and transcutaneous electrode design; and analog and digital circuit design, amplifier design and adaptive filtering, required.
Machine learning methods - clustering, Principal Component Analysis (PCA), Independent Component Analysis (ICA), Latent Dirichlet Allocation (LDA), Support Vector Machines (SVM), Feature extraction and Matlab proficiency, required.
Analog and digital circuit design experience required.
C, C++, and other programming language experience required.
Embedded systems / micro-controller design and prototyping experience preferred.