Postdoctoral Research Fellow at UMass Boston
A postdoctoral fellow position is available in the Brain Stimulation &
Simulation Lab <https://www1.coe.neu.edu/%7Erampersad/index.html>,
directed by Dr. Sumientra Rampersad, in the Department of Physics at the
University of Massachusetts Boston. Our lab focuses on investigating
electromagnetic brain stimulation through computational methods and
experiments with healthy volunteers. This position is funded by a newly
awarded 5-year NIH R01
<https://reporter.nih.gov/project-details/10719222> grant with the goal
to investigate a novel form of brain stimulation called transcranial
temporal interference stimulation (TIS) and to optimize and translate it
into an effective and efficient neuromodulation method for academic
research and clinical practice. The fellow will develop novel
optimization methods for high-density TIS and supervise a PhD student
who will conduct simulations and optimizations using finite element
modeling. The goal is to provide noninvasive and spatially specific
treatment options to patients with brain disorders resistant to existing
approaches.
You will join a multidisciplinary team with expertise in computational
modeling and optimization, human and primate electrophysiology, cellular
and systems neuroscience, and biomedical engineering. You will also have
the opportunity to work on other cutting-edge projects involving several
brain stimulation methods including tCS, TMS, ECoG, sEEG and TTF (see
lab website <https://www1.coe.neu.edu/%7Erampersad/index.html> for
examples). Our collaborators at Northeastern University, the University
of Utah, Harvard University, MGH, and the University of Washington,
provide us access to specialized software and unique clinical data. The
fellow will be mentored by Dr. Rampersad (UMass Boston) and Dr. Dana
Brooks (Northeastern). This is an outstanding career development
opportunity to work with leaders in the field of brain stimulation with
an exceptional record of collaboration and mentoring.
Required qualifications include a PhD in physics, math, electrical,
biomedical engineering, or equivalent, expertise in either brain
stimulation modeling or computational optimization methods (preferred
both), a track record of conference presentations and peer-reviewed
publications, strong verbal and written communication skills, and
proficiency in Matlab or Python.
This is a one-year appointment with the possibility of extension
provided satisfactory progress is made. To apply, send a cover letter
and CV to Dr. Rampersad ([email protected]) with the subject
“TIS postdoc”. Please describe in detail your experience with
optimization, brain stimulation, FEM, coding, project management, and
mentoring students.
