Postdoc: Image-Guided Neurovascular AI Research

AgUpdate; Buffalo (NY); On-site; USD 54,000 - 66,000; Full time

Job summary

University at Buffalo is seeking a full-time Postdoctoral Associate to advance image-guided navigation for neurovascular interventions. The successful candidate will develop AI/ML methods and validate imaging techniques using CT and DSA data, working with clinicians and engineers to achieve project milestones and disseminate findings through publications.

Responsibilities include designing experiments, analyzing imaging data, coordinating across multidisciplinary teams, and preparing scientific

Qualifications

• PhD in biomedical engineering or related field.
• Experience conducting medical imaging research.
• Experience developing AI and ML approaches for research.
• Strong command of statistical methods for biomedical research.
• Demonstrated track record of peer‑reviewed publications and collaboration.

Responsibilities

• Develop image-based methods for neurovascular mapping and navigation in support of robotic neurovascular interventions.
• Process and analyze CT and DSA data to characterize vascular anatomy and navigation pathways.
• Develop and evaluate AI/ML approaches for image-guided vascular navigation.
• Design experiments, validation strategies, and quantitative performance measures for navigation algorithms.
• Coordinate research objectives with clinicians, engineers, and multidisciplinary teams.
• Integrate information from medical imaging, vascular anatomy, and device behavior to support system-level navigation.
• Track progress toward project milestones and contribute to reports and updates.
• Prepare manuscripts, presentations, and grant proposal materials.

Skills

Medical imaging research

AI / ML approaches

Statistical methods

Peer‑reviewed publications

Scientific communication

Education

PhD in biomedical engineering or related field

Job description

University at Buffalo is seeking a full-time Postdoctoral Associate to advance image-guided navigation for neurovascular interventions. The successful candidate will develop AI/ML methods and validate imaging techniques using CT and DSA data, working with clinicians and engineers to achieve project milestones and disseminate findings through publications.

Responsibilities include designing experiments, analyzing imaging data, coordinating across multidisciplinary teams, and preparing scientific