AI-Driven Physiology — Assistant Professor

Dar Al-Hekma; Riyadh; On-site; SAR 150,000 - 250,000; Full time

Job summary

Dar Al-Hekma in Riyadh seeks an Assistant Professor of Physiology focusing on computational/AI methods in research and teaching. The ideal candidate will lead a funded research program utilizing Large Language Models to advance our understanding in areas like Neuroscience and teach high-quality courses to graduate students. Preferred qualifications include postdoctoral experience and prior teaching in medical physiology. Join us to innovate and educate at the forefront of physiological research.

Qualifications

• Ph.D. in Physiology, Neuroscience, or a related discipline.
• Demonstrated expertise in using LLMs or AI applied to biomedical datasets.
• Strong publication record in impactful journals.

Responsibilities

• Establish and maintain a funded research program in physiology using LLMs.
• Deliver high-quality instruction in physiology courses.
• Mentor students in lab techniques and computational methods.
• Participate in departmental and professional society committees.

Skills

Application of Large Language Models (LLMs)

AI and machine learning

Research publication skills

Communication skills

Education

Ph.D. in Physiology or related field

Job description

Dar Al-Hekma in Riyadh seeks an Assistant Professor of Physiology focusing on computational/AI methods in research and teaching. The ideal candidate will lead a funded research program utilizing Large Language Models to advance our understanding in areas like Neuroscience and teach high-quality courses to graduate students. Preferred qualifications include postdoctoral experience and prior teaching in medical physiology. Join us to innovate and educate at the forefront of physiological research.