Postdoctoral Research Fellow in Computational Neuroscience
About The Position
Mass General Brigham’s Mapping & Engineering Neural Dynamics (MEND) Lab is seeking a postdoctoral research fellow for an NIH-funded project investigating why responsive neurostimulation (RNS) benefits some people with epilepsy more than others. The project uses a dataset of more than 260 patients at Brigham and Women’s Hospital and Massachusetts General Hospital, including approximately 240,000 chronic ECoG recordings, stimulation histories, brain imaging, and clinical outcomes. The R01 project is the priority, with opportunities to explore other neurological and psychiatric disorders. The MEND Lab, led by neurosurgeon and neuroscientist Dr. John Rolston, combines electrophysiology, advanced imaging, and electrical stimulation to study and treat disorders involving altered brain activity. The fellow will receive mentorship from Dr. Rolston and day-to-day guidance from Senior Postdoctoral Research Fellow Dr. Jeremi Chabros. The role involves close collaboration with surgeons and neurologists, access to hospital CPU and GPU clusters, and support for fellowship funding applications. The position is based in Boston’s Longwood area and is described as hybrid in the role details, although the listing’s Remote Type is Onsite. Start timing is flexible, with early 2027 preferred. J-1 visa sponsorship is available to qualified candidates.
Requirements
- PhD in a quantitative field such as computational neuroscience, engineering, computer science, statistics, mathematics, or physics, or an MD with equivalent quantitative training.
- Strong programming skills in Python, MATLAB, or Julia.
- Depth in signal processing, statistical modeling, or machine learning.
- At least one first-author paper or preprint.
Nice To Haves
- Experience with time-series or causal methods, neuroimaging analysis, or neural data.
- Intracranial experience is valued but is not essential.
Responsibilities
- Turn long-term ECoG and device time series into quantitative measures of brain state.
- Use statistics and machine learning to link electrode location, stimulation timing, and brain rhythms to seizure outcomes.
- Build prediction models and validate them in prospective patients and at other centers.
- Lead first-author papers and write reproducible code.
Benefits
- Mentorship from Dr. Rolston and day-to-day guidance from Senior Postdoctoral Research Fellow Dr. Jeremi Chabros.
- Close work with surgeons and neurologists.
- Access to hospital CPU and GPU clusters.
- Support for fellowship funding applications.
- J-1 visa sponsorship is available to qualified candidates.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
