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Neural Engineer

Job Description

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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 

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  • 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 

  • Performs related duties as required. All responsibilities noted here are considered essential functions of the job under the Americans with Disabilities Act. Duties not mentioned here, but considered related are not essential functions. 

Required Qualifications ​

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  • PhD (or equivalent combination of education and related experience) in a relevant field (including neuroscience, bioengineering, machine learning, reinforcement learning, data science) 

  • Extensive experience with data analysis, figure generation, and programming in Python and MATLAB 

  • Deep understanding of machine learning principles, statistics, and experimental design 

  • Strong written and verbal communication skills 

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Preferred Qualifications 

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  • Knowledge of Git and collaborative coding practices 
  • Experience working with human participants in a research environment 

  • Experience with neurostimulation including ICMS and/or tSCS 

  • Experience with reinforcement learning algorithms 

  • Experience analyzing electrophysiology data 

  • Experience in real-time vision processing and body / hand tracking. 

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