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Clinical Neurotechnology Research Assistant
The Clinical Neurotechnology Research Assistant (CNRA) is primarily responsible for the performance of clinical neurotechnology research in the homes of clinical trial participants with tetraplegia. These responsibilities include the careful execution and documentation of research sessions studying the safety and efficacy of investigational medical devices and novel, neurally-controlled assistive interfaces (“brain-computer interfaces”) for people with paralysis or communication impairments. Positions are currently open at Massachusetts General Hospital. Click the link below for further information and to submit applications:
CNRA at Massachusetts General Hospital
Postdoctoral Research Associates
As part of our ongoing clinical trials of an intracortically implanted neural interface system, we seek enthusiastic individuals with expertise in computational and systems neuroscience, intracortical neurophysiology, machine learning, or neuroengineering to join our internationally recognized research team. Our work focuses on advancing state-of-the-art neural signal processing, encoding models and decoding approaches for brain-computer interfaces to restore communication and functional independence for people with paralysis. We also conduct fundamental human neuroscience research in movement control, cognition, and attention. As a highly multidisciplinary endeavor, our team includes a tight-knit collaborative group of neuroscientists, engineers, computer scientists, mathematicians, and clinicians with collaboration across Massachusetts General Hospital, Brown University, the VA Providence Healthcare System, Stanford University, Emory University, and University of California, Davis.
Postdoctoral research in machine learning for BCI communication and neuroprosthetics – Brown University, MGH
Areas of research include, but are not limited to, harnessing intracortical signals for the development of communication interfaces for persons who are locked-in, developing new real-time decoding strategies for computer and device interaction, and developing models and interfaces for converting cortical neuronal activity into the real-time movement of multi-articulated prosthetic limbs or robotic devices. Fellows will join the BrainGate research team at Brown University in close collaboration with colleagues at MGH, the Providence VA Medical Center, and other consortium research groups. For more information and to apply, click here.
Postdoctoral research in soft robotics and neuroprosthetics – Brown University, MGH
This position will have a strong focus on developing and refining machine learning approaches to enable multidimensional neural control of wearable soft robotics including glove, elbow and shoulder prostheses. Fellows will join the Center for Neurotechnology and Neurorecovery at Massachusetts General Hospital working in close collaboration with the soft robotics research group of Dr. Conor Walsh at Harvard and with colleagues at Brown University and the BrainGate research consortium. For more information and to apply, click here.
Senior Software Engineer – Massachusetts General Hospital, Brown University
The Senior Software Engineer plays a pivotal role in the development and implementation of cutting-edge neurotechnology software using a variety of languages and technologies. This position, based primarily with our research group on the campus of Brown University (with the option of a one or two days per week in our Boston office at Massachusetts General Hospital), will be responsible for extending the feature set of the BrainGate iBCI system to promote at-home, independent use by nontechnical end users and their caregivers.
For details and to apply, click here.
Jonathan Rosand, MD, MSc and Leigh Hochberg, MD, PhD are now accepting applications for the NIH-funded T32 Postdoctoral Training Program in Recovery and Restoration of CNS Health and Function. The program is open to post-doctoral (MD or MD/PhD) clinician-scientists and post-doctoral (PhD) neuroengineers/computational neuroscientists to train under a multidisciplinary training faculty from anesthesia, biomedical engineering, computational neuroscience, neurology, neurosurgery, physical medicine and rehabilitation, psychiatry, and radiology.
The research and training opportunity includes a two year, T32-funded fellowship that usually begins in July.