Postdoctoral Fellow in Brain-Computer Interfaces

BCI_smallWe have an open position for a postdoctoral fellow to work on the development and implementation of EEG-based closed-loop brain-computer interfaces (BCIs) for treatment and rehabilitation of a debilitating neurological disorder, dystonia.
The postdoctoral fellow will be part of a multidisciplinary team of neuroscientists, neurologists, and laryngologists and work at the intersection of computational neuroscience, neuroimaging, and clinical research to implement BCIs based on neurofeedback and virtual reality. 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).
Responsibilities will include but may not be limited to
  • Implementation of closed-loop, real-time neurofeedback paradigms for pathophysiologically based BCIs
  • Integration of BCIs with virtual environments for enhanced auditory, visual and neural feedback
  • Integration of non-invasive transcranial stimulation paradigms with the BCIs
  • 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
  • Mentoring of junior staff

Qualifications and Skills

  • PhD or equivalent in neuroscience, biomedical engineering, computer science, or related fields
  • Strong interest in investigating complex motor behaviors for translational application of BCIs
  • Expertise in EEG signal processing
  • Strong experience in neural engineering, including BCIs, neurofeedback, neuroprosthetics
  • Machine-learning experience is preferred but not required
  • Experience in non-invasive brain stimulation methods is preferred but not required
  • Advanced programming skills (Python and/or Matlab) and 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

Dystonia and Speech Motor Control Laboratory | Department of Otolaryngology-Head & Neck Surgery, Massachusetts Eye and Ear and Harvard Medical School | 243 Charles Street, Suite 421 | Boston, MA 02114 | Simonyan_Lab@MEEI.Harvard.edu | (P) 617-573-6016 | (F) 617-573-6024 |  @SimonyanLab

EES Statement | By embracing diverse skills, perspectives and ideas, we choose to lead. Research and clinical involvement of women, underrepresented minorities, protected veterans, and individuals with disabilities is strongly encouraged.