Research Fellow- Brain-Computer Interface; Simonyan Lab
Mass. Eye and Ear (MEE)

Job Info

About Us:

Massachusetts Eye and Ear is an international center for treatment and home to the world's largest vision and hearing research centers. Mass. Eye and Ear is a member of Mass General Brigham and a teaching hospital of Harvard Medical School.

Mass. Eye and Ear clinicians are driven by a mission to find cures for blindness, deafness and diseases of the head and neck. Internationally acclaimed since its founding in 1824, Mass. Eye and Ear employs full-time, board-certified physicians who offer high quality and affordable specialty care that ranges from the routine to the very complex. Learn more about our Mission, Vision and Values and Diversity, Equity and Inclusion on our site.

Providing a safe environment for everyone is the core tenet of our Safe Care Commitment. Across Mass General Brigham, employees are doing their part to ensure that the hospitals, clinics, practices and office spaces across our system are safe and ready.

Mass. Eye and Ear physicians are located at our main campus in Boston, and at our suburban locations in the greater Boston and Providence areas, across 21 locations.

Postdoctoral Fellow in Brain-Computer Interface for Neurological Disorders

The Dystonia and Speech Motor Control Laboratory ( at Massachusetts Eye and Ear, Massachusetts General Hospital and Harvard Medical School is seeking a postdoctoral fellow to work on the development of EEG-based closed-loop brain-computer interfaces (BCIs) for treatment and rehabilitation of a debilitating neurological disorder, dystonia.

The postdoctoral fellow will function as part of a multidisciplinary team of physician-scientists, neuroscientists, geneticists, neurologists, and laryngologists at Mass Eye and Ear and Mass General Hospital. This position is best suited for an individual with a broad computational background interested in understanding and examining critical clinical problems and developing research solutions for their translation into the clinical setting to improve healthcare. The fellow will be highly competitive to pursue future opportunities in either academia or industry (pharma and biotech).

The successful candidate will work at the intersection of computational neuroscience, machine learning, and neuroimaging to implement BCIs based on neurofeedback and virtual reality.

**To be considered, candidates must submit a Statement of Interest in addition to their CV.

Responsibilities will include but may not be limited to:

  • Design of a virtual environment to convey auditory, visual and neurofeedback and implementation of a closed-loop BCI
  • Development of machine-learning algorithms to transform high-density neural signals into neurofeedback to present through virtual reality googles
  • Integration of data collection and signal processing algorithms
  • Experimental data collection and signal processing
  • Establishment of new and fostering of existing collaborations
  • Presentation of the results at the scientific meetings and publication of journal articles
  • Participation in grant writing and preparation
  • Mentoring of junior staff
Commensurate with experience according to the Mass Eye and Ear Policies and Procedures.
The positions are available immediately, and the applications are considered on an ongoing basis until the positions are filled.

Qualifications and Skills
  • PhD in computer science, neuroscience, biomedical engineering, or related fields
  • Experience in biomedical signal processing, feature extraction and machine learning applied to biological and/or neural datasets
  • Experience in neural engineering, including BCIs, neurofeedback, neuroprosthetics
  • Broad proficiency and experience with supervised and unsupervised machine-learning methods
  • Substantial experience with EEG data analysis
  • Advanced programming skills (Python and/or Matlab)
  • Knowledge and experience of the cloud-based computational platforms (e.g., AWS)
  • Strong experience in the algorithmic design, mathematical models, analysis and integration of dynamic systems
  • Excellent verbal and written communication skills
  • Strong publication record and academic credentials
  • Ability to work effectively both independently and in collaboration with multiple investigators

EEO Statement
Massachusetts Eye and Ear is proud to be an equal-opportunity employer and is committed to providing a workplace free from harassment or discrimination. All employment decisions are made without regard to race, color, age, gender, gender identification, sexual orientation, religion, marital status, sex, pregnancy or conditions related to pregnancy, national origin/ancestry, citizenship, disability, military status, genetic information, or any other basis prohibited by law. These protections extend to all management practices and decisions, including recruitment and hiring practices, appraisal systems, promotions, training, and career development programs

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