Postdoctoral Fellow: Imaging & ML for Neuromodulation Targets

Mount Sinai; New York (NY); On-site; USD 75,000 - 80,000; Full time

Job summary

Mount Sinai invites applications for a research role focused on neuromodulation therapies. The candidate will lead multimodal MRI preprocessing, identify imaging biomarkers, and help establish image-guided targeting for DBS, TMS, or related approaches.

Responsibilities include collaboration with clinicians, applying machine learning to biomarkers, and advancing adaptive imaging-based neuromodulation strategies in a dynamic research environment.

Qualifications

• Ph.D. required in Neuroscience, Data Science, CS or Computer Eng.
• Strong coding skills in Python, Matlab, Shell scripting.
• Experience with MRI data preprocessing and image analysis.
• Familiarity with multimodal imaging integration.
• Prior work in image-based neuromodulation research is preferred.

Responsibilities

• Multimodal image preprocessing to identify imaging biomarkers for neuromodulation therapies.
• Establish image-guided neuromodulation targeting.
• Collaborate with a clinician to support clinical decision-making.
• Apply machine learning to characterize biomarkers and predict targets, circuits, and outcomes.

Skills

MRI image processing

ML image analysis

Image processing software

Multimodal integration

Neuromodulation research

Education

Ph.D. in Neuroscience/Data Science/CS

Tools

Python

Matlab

Shell scripting

FSL

AFNI

MRTRIX

FREESURFER

Job description

Mount Sinai invites applications for a research role focused on neuromodulation therapies. The candidate will lead multimodal MRI preprocessing, identify imaging biomarkers, and help establish image-guided targeting for DBS, TMS, or related approaches.

Responsibilities include collaboration with clinicians, applying machine learning to biomarkers, and advancing adaptive imaging-based neuromodulation strategies in a dynamic research environment.