Neural Engineer
Job Description
The lab is looking for a Neural Engineer with a PhD or equivalent experience in brain-computer interfaces, neuromodulation, machine learning, and/or reinforcement learning. This position will involve working on research projects surrounding restoration and rehabilitation of sensorimotor abilities, in a highly collaborative, team-based environment.
This position is in-person, located at the Feinstein Institutes for Medical Research in New York.
Responsibilities
Provides research and technical expertise in the design, development, and testing of novel brain-computer interface/neuroprosthetic approaches and technologies
Builds and optimizes decoding and reinforcement learning algorithms to support experiments and analyze time-series data from microelectrode arrays, EMGs, and other sensors
Performs experiments, collects data, analyzes results, generates figures
Participates in the writing of abstracts, manuscripts, grant applications, reports, and presentations, attends scientific and technical meetings, presents findings internally and externally
Builds and maintains code and data sets while integrating systems as needed
Required Qualifications
PhD (or equivalent combination of education and related experience) in a relevant field (including neural engineering, machine learning, reinforcement learning, bioengineering, neuroscience, data science)
Deep understanding of machine learning principles, reinforcement learning, statistics, and experimental design
Extensive experience with data analysis, signal processing, artifact rejection, Fourier/wavelet transformation, figure generation, and programming in Python and MATLAB
Strong written and verbal communication skills
Preferred Qualifications
Knowledge of Git and collaborative coding practices
Experience analyzing electrophysiology data
Experience with neurostimulation including ICMS and/or tSCS
Experience with Simulink
Experience working with human participants in a research environment
Experience with real-time vision processing and body/hand tracking
Understanding of feedback control and systems theory
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