AI & ML for Veterinary Population Health — Faculty

The Ohio State University; Columbus (OH); On-site; USD 120,000 - 180,000; Full time

Job summary

The Ohio State University in Columbus, OH invites applications for a full-time, tenure-track Assistant or Associate Professor position focusing on Artificial Intelligence and Machine Learning in veterinary population health. The role balances innovative AI/ML research with teaching responsibilities for veterinary and graduate students.

The successful candidate will develop and translate AI methods to improve animal health, welfare, and population outcomes, while building an extramurally funded

Qualifications

• Significant AI/ML scholarship applied to biological or population-level data.
• Track record of extramural funding arrangements or potential.
• Strong communication skills for diverse audiences.
• Ability to translate AI methods into practical veterinary solutions.

Responsibilities

• Conduct translational AI/ML research at the intersection of data science and veterinary medicine.
• Maintain an extramurally funded research program focused on applied AI in preventive veterinary medicine and population health.
• Teach veterinary and graduate students on AI literacy and related topics.
• Collaborate across disciplines to foster cross-cutting research.
• Engage with regulatory agencies and stakeholders to advance veterinary medicine.
• Contribute to OSU AI(x) Hub and related initiatives.

Skills

AI/ML expertise

Translational research

Cross-disciplinary collaboration

Teaching

Education

DVM or PhD in Epidemiology/VM/BI/CS/Data Science

Tools

Python

TensorFlow

PyTorch

Job description

The Ohio State University in Columbus, OH invites applications for a full-time, tenure-track Assistant or Associate Professor position focusing on Artificial Intelligence and Machine Learning in veterinary population health. The role balances innovative AI/ML research with teaching responsibilities for veterinary and graduate students.

The successful candidate will develop and translate AI methods to improve animal health, welfare, and population outcomes, while building an extramurally funded