Assistant Professor of Physiology (Computational/AI Focus)

The Department of Physiology invites applications for a full-time, tenure-track Assistant Professor position. We seek a dynamic, innovative researcher utilizing Large Language Models (LLMs), Generative AI, or advanced natural language processing (NLP) to advance mechanistic understanding in Neuroscience, or Gastrointestinal Endocrinology, or Reproduction, or Respiratory Physiology. The successful candidate will establish an externally funded research program, contribute to high-quality teaching, and leverage computational approaches to revolutionize physiological research.

Key Responsibilities

• Research: Establish and maintain a vigorous, independently funded research program focusing on the application of Large Language Models (LLMs) to physiological data, such as mining literature for mechanistic insights, modeling system interactions, or developing AI-driven diagnostic/predictive tools in their specialized field (Neuro/GI/Repro/Resp).
• Teaching: Deliver high-quality instruction in physiology courses to graduate and professional (medical/dental) students. Develop curriculum incorporating computational physiology and AI literacy.
• Mentorship: Mentor graduate students, postdoctoral fellows, and undergraduate trainees in both traditional lab techniques and computational methodology.
• Service: Participate in departmental, university, and professional society committees. Collaborate with clinical departments to foster translational AI initiatives.