Postdoctoral Fellow-MSH-21015-048

Mount Sinai Health System•New York, NY

16h•Onsite

About The Position

The Icahn School of Medicine at Mount Sinai in New York, NY is seeking a Postdoctoral Research Fellow in Multimodal AI for Prostate Cancer Imaging. This role involves designing and developing advanced AI models to analyze medical imaging data for prostate cancer diagnosis, segmentation, and grading. The fellow will collaborate with clinical experts, contribute to scientific publications and grant applications, and mentor graduate students.

Requirements

PhD in Computer Science, Electrical Engineering, Biomedical Engineering, or a closely related field.
Strong background in deep learning and medical image analysis, with demonstrated experience in image segmentation, classification, detection, or multimodal learning for radiology applications.
Strong publication record as the first author in peer-reviewed venues such as MICCAI, ISBI, CVPR, IEEE Transactions on Medical Imaging, Medical Image Analysis, Radiology journals, or equivalent venues.

Nice To Haves

Experience with multiparametric MRI analysis and/or radiology–pathology correlation analysis in prostate cancer.
Experience with clinical NLP applied to clinical or radiology text (e.g., report generation, entity extraction, or LLM fine-tuning).
Familiarity with agentic AI frameworks, AI infrastructure, and deployment tools (e.g., high-throughput LLM inference frameworks vLLM).

Responsibilities

Design and develop multi-modal AI models for registration, detection, segmentation, and grading tasks using multi-parametric MRI and histopathology data for prostate cancer.
Collaborate closely with radiologists and clinical specialists to formulate clinically relevant research questions and develop AI-driven solutions to improve prostate cancer patient care.
Contribute to the preparation and submission of scientific manuscripts.
Contribute to grant applications to federal or industry-sponsored research.
Help mentor graduate students on project-specific tasks.