Electrical Engineer (Neural Engineer)

Job Description

Performs investigative research in the field of neuro-modulation and device development. Tests and evaluates implantable devices developed for neuro-stimulation and recording.  Performs benchtop and in vitro/in vivo experimental studies. Publishes and presents data.  Collaborates with Investigators and Scientists in facilitating scientific research.  Neural Engineer who will work on brain-computer interfaces, neuromodulation, machine learning, and/or reinforcement learning. Involved in research projects surrounding restoration and rehabilitation of sensorimotor abilities, in a highly collaborative, team-based environment. 

Located at the Feinstein Institutes for Medical Research.

Job Responsibility

• Provides research and technical expertise in the design, selection of material/components, development, and testing of novel brain-computer interface/neuroprosthetic approaches and technologies.
• Analyzes electrophysiological and electrochemical responses to neuromodulation.
• Performs experiments, collects data, analyzes results, generates figures, and presents to leadership for review. 
• Directs and performs engineering, computer science and statistical studies for select research projects. 
• Maintains equipment and infrastructure in the bioelectronics laboratory.
• Attends scientific and technical meetings, builds and maintains databases, works with computer software, and integrates systems, as needed.
• Participates-in writing of abstracts, manuscripts and 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.
• Builds and optimizes decoding and reinforcement learning algorithms to support experiments and analyze time-series data from microelectrode arrays, EMGs, and other sensors.
• 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.

Job Qualification

• Master's Degree required, or equivalent combination of education and related experience.
• 3-5 years of relevant experience, required.
• PhD (or equivalent combination of education and related experience) in a relevant field (including neural engineering, machine learning, reinforcement learning, bioengineering, neuroscience, data science), preferred.
• Deep understanding of machine learning principles, reinforcement learning, statistics, and experimental design, preferred. 
• Extensive experience with data analysis, signal processing, artifact rejection, Fourier/wavelet transformation, figure generation, and programming in Python and MATLAB, preferred. 
• Strong written and verbal communication skills, preferred.
• Knowledge of Git and collaborative coding practices, preferred. 
• Experience analyzing electrophysiology data, preferred.   
• Experience with neurostimulation including ICMS and/or tSCS, preferred.   
• Experience with Simulink, preferred. 
• Experience working with human participants in a research environment, preferred. 
• Experience with real-time vision processing and body/hand tracking, preferred. 

*Additional Salary Detail 
The salary range and/or hourly rate listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future.When determining a team member's base salary and/or rate, several factors may be considered as applicable (e.g., location, specialty, service line, years of relevant experience, education, credentials, negotiated contracts, budget and internal equity).