Epilepsy Brain Dynamics Postdoc - Computational ML & Prediction

The General Hospital Corporation; Boston (MA); Hybrid; USD 72,000 - 81,000; Full time

Job summary

Mass General Brigham Incorporated in Boston seeks a Research Fellow (Postdoctoral) to work on an NIH-funded RNS project, analyzing large ECoG datasets from Brigham and Women's and Massachusetts General Hospitals. You will apply computational neuroscience methods to understand epilepsy and related disorders.

Mentorship from senior researchers, collaboration with clinicians, and access to CPU/GPU resources are provided; flexible start date in early 2027 and J-1 visa sponsorship available for

Qualifications

• PhD in computational neuroscience, engineering, computer science, statistics, mathematics or physics.
• Strong programming in Python, MATLAB or Julia; depth in signal processing, statistical modeling or machine learning.
• At least one first-author paper or preprint.

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.

Skills

Python

MATLAB

Julia

Machine learning

Statistics

Education

PhD in a quantitative field

MD with quantitative training

Tools

Python

MATLAB

Julia

Job description

Mass General Brigham Incorporated in Boston seeks a Research Fellow (Postdoctoral) to work on an NIH-funded RNS project, analyzing large ECoG datasets from Brigham and Women's and Massachusetts General Hospitals. You will apply computational neuroscience methods to understand epilepsy and related disorders.

Mentorship from senior researchers, collaboration with clinicians, and access to CPU/GPU resources are provided; flexible start date in early 2027 and J-1 visa sponsorship available for