Assistant Professor - AI and Digital Health

The successful candidate is expected to lead innovative research at the intersection of health care, health data analytics, and emerging health technologies, while also contributing meaningfully to undergraduate and graduate teaching and curriculum development. Responsibilities include considering ethical implications and biases in ai models, and demonstrating excellence in research, teaching, mentoring, and service.

Candidates must hold a phd in a relevant field with demonstrated expertise in ai and digital health applications in health sciences, along with a strong academic background and an established record of scholarly research. They must also demonstrate potential for outstanding teaching contributions and possess excellent english language skills for effective communication.