Join Our Team
Clinical Neurotechnology Research Assistant
We are seeking a motivated, energetic, responsible individual with an interest in neurotechnology to join a leading team of physicians, scientists, and engineers at the Center for Neurotechnology and Neurorecovery at Massachusetts General Hospital, a teaching affiliate of Harvard Medical School, in the full-time role of Clinical Neurotechnology Research Assistant (CNRA) for our ongoing brain-computer interface research. The successful candidate will be on the front lines of this research, working with clinical trial participants with paralysis in their homes, and performing duties in concordance with FDA regulations and the investigational plan. In addition to collecting primary clinical data, the CNRA will work closely with a leading translational neuroscience group at Brown University in further developing effective brain-computer interfaces for persons with paralysis and limb loss.
UI-UX Designer / Software Engineer
The UI/UX Designer-Developer will be based at Brown University and spearhead the conception, design and software implementation of user interfaces and overall user experience for our intracortical brain-machine interface to be deployed to the homes of individuals with severe movement disability. Working closely with our team, s/he will be responsible for aesthetic and functional UI/UX design, executing a user-centered design process, coding elegant and effective user interfaces using iOS, web, Windows and other software technologies/targets, software integration, testing and end validation. This is a full-time 2-year fixed-term position with standard Brown University employee benefits. Please see the PDF announcement for details.
Postdoctoral Research Associates
We have postdoctoral research opportunities in areas that include, but are not limited to analyzing neuronal ensemble activity toward the improvement of decoding intended movement, harnessing intracortical signals for the development of communication interfaces for persons who are locked-in, developing new real-time decoding strategies, signal processing, and post-processing algorithms, and developing the interfaces for converting cortical neuronal activity into the real-time movement of a multi-articulated prosthetic limb, robotic limb/assistive device, or functional electrical stimulation system.
