[Eeglablist] Postdoctoral research fellow at UMass Boston

[Joanne Hall]

Postdoctoral research fellow at UMass Boston

A postdoctoral fellow position is available in the Brain Stimulation & Simulation Lab, 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
5-year NIH R01 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 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 (sumientra.rampersad at umb.edu)
with the subject “TIS postdoc”. Please describe in detail your
experience with optimization, brain stimulation, FEM, coding, project management, and
mentoring students.