Postdoctoral Research Fellow in Multimodal AI for Prostate Cancer Imaging

Job Description

The Radiology Intelligence Group is seeking a highly motivated Postdoctoral Research Fellow in the Department of Diagnostic, Molecular, and Interventional Radiology at the Icahn School of Medicine at Mount Sinai. This position is centered on multimodal AI for
prostate cancer imaging, with secondary interests in clinical NLP and computer vision. The research fellow will contribute to federally funded and institutionally supported research programs that develop and validate AI-driven tools to improve prostate cancer
detection, characterization, and treatment guidance. This is an excellent opportunity to conduct innovative AI research powered by large-scale, real-world clinical data and to work directly with a team of AI scientists and world-renowned clinicians in radiology, pathology, and urology, gaining cross-disciplinary expertise that accelerates translational AI research from bench to bedside.
Responsibilities: the key responsibilities include:
(1) design and develop multi-modal AI models for registration, detection, segmentation, and grading tasks using multi-parametric MRI and histopathology data for prostate cancer;
(2) collaborate closely with radiologists and clinical specialists to formulate clinically relevant research questions and develop AI-driven solutions to improve prostate cancer patient care;
(3) contribute to the preparation and submission of scientific manuscripts;
(4) contribute to grant applications to federal or industry-sponsored research; (5) Help mentor graduate students on project-specific tasks.
Qualifications: the qualifications are:
(1) PhD in Computer Science, Electrical Engineering, Biomedical Engineering, or a closely related field;
(2) strong background in deep learning and medical image analysis, with demonstrated experience in image segmentation, classification, detection, or multimodal learning for radiology applications;
(3) strong publication record as the first author in peer-reviewed venues such as MICCAI, ISBI, MIDL, CVPR, IEEE Transactions on Medical Imaging, Medical Image Analysis, Radiology journals, or equivalent venues;
(4) Experience with multiparametric MRI analysis and/or radiology-pathology correlation analysis in prostate cancer is a plus;
(5) Experience with clinical NLP applied to clinical or radiology text (e.g., report generation, entity extraction, or LLM fine-tuning) is a plus;
(6) Familiarity with agentic AI frameworks, AI infrastructure, and deployment tools (e.g., high-throughput LLM inference frameworks vLLM) is a plus.

Interested candidates should send the following materials to Dr. Yan Zhuang (yan.zhuang@mssm.edu) with the subject line “Postdoc Research Fellow Application – First Name Last Name”:
(1) a CV;
(2) a brief statement of interests;
(3) the earliest start date;
(4) a list of three references.
Informal inquiries are warmly welcomed before a formal application.