Postdoctoral Researcher: Brain Recovery & Aphasia

Boston University; Boston (MA); On-site; USD 61,000 - 74,000; Full time

Job summary

Boston University’s Center for Brain Recovery at the Sargent College invites applications for a Postdoctoral Associate to advance language recovery research after stroke. The role centers on neuroimaging, computational modeling, and precision rehabilitation for aphasia, with collaboration across clinicians, engineers, and data scientists.

The position involves developing prognostic frameworks, handling multimodal data, and translating findings to clinical candidacy assessments.

Qualifications

• Ph.D. in neuroscience, neuroimaging, computational neuroscience, biomedical engineering or related field.
• Strong experience with fMRI data acquisition and analysis.
• Proficiency in neuroimaging analysis software (FSL, SPM, AFNI) and programming languages (Python, MATLAB, or R).
• Experience with structural connectivity analysis and/or computational modeling.
• Excellent written and verbal communication skills.
• Ability to work collaboratively in an interdisciplinary team.

Responsibilities

• Conduct and analyze fMRI studies to understand language networks and recovery in aphasia.
• Develop and refine pipelines for directional connectivity analysis using MRI, DTI, rsfMRI.
• Build machine learning models to predict prognosis from multimodal data.
• Coordinate recruitment and data collection for longitudinal aphasia studies.
• Oversee data management and ensure ethical standards.

Skills

fMRI analysis

interdisciplinary teamwork

written communication

verbal communication

Education

PhD in neuroscience or related field

Tools

FSL

SPM

AFNI

Python

MATLAB

R

DTI

Job description

Boston University’s Center for Brain Recovery at the Sargent College invites applications for a Postdoctoral Associate to advance language recovery research after stroke. The role centers on neuroimaging, computational modeling, and precision rehabilitation for aphasia, with collaboration across clinicians, engineers, and data scientists.

The position involves developing prognostic frameworks, handling multimodal data, and translating findings to clinical candidacy assessments.