Icahn School of Medicine at Mount Sinai
Windreich Department of Artificial Intelligence and Human Health
The Windreich Department of Artificial Intelligence and Human Health at the Icahn School of Medicine at Mount Sinai is the foremost department of its kind within a medical school. In partnership with the Hasso Plattner Institute of Digital Health (HPI.MS), our goal is to make the tools and techniques of artificial intelligence available to all Mount Sinai researchers and physicians throughout the Health System’s eight hospitals and 400-plus ambulatory clinics.
To build a world-class research program for AI- and data-driven innovation in human health, the AI Department and HPI.MS are seeking outstanding candidates for early- and mid-career positions with an excellent track record in computer science, artificial intelligence, and machine learning to join its faculty.
Through its scientific computing and data partners, the Department and Institute offer candidates seamless and secure access to state-of-the-art research, clinical data and operations with vast amounts of multimodal health data and large, diverse patient populations.
Our Department benefits from a new state-of-the-art facility located right in the center of the Mount Sinai campus. This facility will house all AI research initiatives within the health system and also contain large supercomputers and cloud computing database capabilities.
Enabled by a visionary international partnership between the Mount Sinai Health System and the Hasso Plattner Institute for Digital Engineering, Potsdam, Germany, (https://hpi.de/) successful candidates will also have the opportunity to leverage integrated research and educational programs at both institutions through adjunct faculty appointments at HPI. HPI ranks among Germany’s top computer science and IT systems engineering institutions with research and educational programs in IT systems engineering, data engineering, digital health, cybersecurity, and human-centered design.
Ph.D. in computer science, applied mathematics, computational sciences, physics, chemistry, or a related field. M.D.-Ph.D. candidates with advanced computational training are also encouraged to apply. Successful candidates will demonstrate scientific excellence and outstanding achievements applying advanced machine learning, artificial intelligence and computational sciences in human health.
Applications must be submitted online at https://www.linkedin.com/jobs/view/3256983893/ by submitting a CV, research statement, and cover letter.