Postdoctoral Fellow in Artificial Intelligence for Medicine (Machine Learning, Medical Imaging) Weill Cornell Medicine in United States

Weill Cornell Medicine is recruiting a Postdoctoral Fellow in Artificial Intelligence for Medicine to join the Intelligent Medical Systems Laboratory (IMEDS) in New York City, led by Prof. Aleksei Tiulpin. The role sits in the Department of Radiology and focuses on machine learning, medical imaging, and clinically relevant AI for early disease detection, disease prevention, and prevention of treatment complications.

The lab works on methods at the intersection of computer vision, large language models, and statistics, with applications in preventive care and translational medicine. Research themes mentioned include vision-language models, alignment, implicit neural representations, image segmentation, and longitudinal disease phenotyping. The lab also highlights access to a strong clinical team, large datasets, and collaborations across biomedical engineering, AI, and medicine.

Eligibility highlights: applicants should hold a Ph.D. in Computer Science or a related field and have at least three first-author publications in strong ML/CV or medical AI venues. The post also prefers candidates with mentoring experience, fellowship success, and interdisciplinary collaboration experience.

Funding and terms: this is a two-year postdoctoral appointment with a salary range of $74,692–$86,535 plus benefits. The posting notes possible visa support through J-1 and H-1B options.

How to apply: email a 1-page CV, 1-page research statement, and the names and emails of two references to [email protected]. Applications received by 2026-04-10 will receive full consideration.

Relevant links include the lab website (imeds.ai) and the official postdoctoral opportunity page at Weill Cornell Medicine.