AI-Driven Physiology Professor (Computational/NLP Focus)

Alfaisal University; Riyadh; On-site; SAR 270,000 - 360,000; Full time

Job summary

Alfaisal University invites applications for a full-time Assistant Professor of Physiology with a Computational/AI focus. The appointee will advance mechanistic neuroscience, GI/endocrinology, reproduction, or respiratory physiology through LLMs and NLP, building an externally funded program and contributing to medical education.

The role emphasizes high-impact publication, collaboration with clinical departments, and development of AI-enabled tools to accelerate physiological research and

Qualifications

• PhD in Physiology, Neuroscience, GI/Endocrinology, Reproduction, or Respiratory Physiology or Computational Biology/Data Science.
• Demonstrated expertise in applying LLMs, AI, or ML to biomedical data.
• Strong publication record in high-impact physiology or computational journals.

Responsibilities

• Establish and maintain a vigorously funded research program focusing on LLM applications to physiological data.
• Deliver high-quality instruction in physiology courses for graduate and professional students.
• Mentor graduate students, postdocs, and undergraduates in lab and computational methods.
• Collaborate with clinical departments to support translational AI initiatives.

Skills

LLMs/AI in biomed

Scientific publishing

Verbal and written communication

Python/Machine Learning

Education

PhD in Physiology

PhD in Neuroscience

PhD in Computational Biology

Tools

Python

ML frameworks

NLP tools

Job description

Alfaisal University invites applications for a full-time Assistant Professor of Physiology with a Computational/AI focus. The appointee will advance mechanistic neuroscience, GI/endocrinology, reproduction, or respiratory physiology through LLMs and NLP, building an externally funded program and contributing to medical education.

The role emphasizes high-impact publication, collaboration with clinical departments, and development of AI-enabled tools to accelerate physiological research and