Assistant/Associate Professor of AI and Machine Learning in Veterinary Population

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

Assistant/Associate Professor of Artificial Intelligence and Machine Learning in Veterinary Population Health

The Ohio State University

Columbus, OH

The Department of Veterinary Preventive Medicinein the College of Veterinary Medicine at The Ohio State Universityinvites applications for a full-time,tenure-track faculty appointment at the rank of Assistant or Associate Professor, specializing in Artificial Intelligence (AI) and Machine Learning (ML).We seek an AI/ML scholar whose research focuses on developing and applying innovative computational methods to address critical challengesinveterinarymedicine,disease preventionand control, andpopulation health.Ideal candidates will have a strong background in AI/ML and a demonstrated ability totranslateadvancedanalyticalapproaches into meaningful discoveries and practical applicationsrelevantto animal health and welfare.This positioncomplementsThe Ohio StateUniversity’sAIHiringInitiativetoharness AI to revolutionize the translation of ideas to real-world solutions for Ohio and beyond.

The primary responsibilities of this position will be to conduct innovative, translational research at the intersection of advanced computational data science and veterinarymedicine.Candidates must demonstrate significant AI/ML expertise as a core element of their scholarship through the development of novel methods or the application of existing approaches that generate new scientific knowledge, methodological advances, or practice solutions for veterinary preventive medicine and population health.The successful candidates will maintain an extramurally funded research program that prioritizes translational science discoveries using novel approaches that support animal health and/or welfare.The position is intended for faculty whose scholarly contributions are centered on AI/ML and their advancement or innovative application in veterinary and population health contexts, rather than the routine use of existing AI tools.

In addition to research, the successful candidate is expected to maintain a teaching program. Teaching responsibilities will include providing instruction to veterinary and graduate students on topics that may include preventive medicine, animal welfare, and/or disease diagnosis and prevention and control. The candidate may also be expected to develop and deliver content that expands AI literacy and promotes the responsible and effective use of AI tools in veterinary medicine and related disciplines.

The successful candidate is expected to servein department, college, and university levelinitiativesincluding the OSU AI(x)Hub

that aims topioneerAI innovation for the public good.They will alsohave the opportunity toengagewith regulatory agencies and external stakeholderstouse AI to advance veterinary medicine.The specific distribution of effort will be adjusted toreflect the strengths and interests of the successful candidate but will remainpredominately focusedon research.

Performance Objectives

• Conduct translational researchusing AI/MLapproachesto address challenges in veterinary medicine, disease preventionand control, and population health. Illustrative examplesinclude:

• Traditional and syndromic disease surveillance

• Precision livestock farming,herd health informatics, and integrated decision support

• Predictive modelingfordisease prevention,diagnosis,treatment, and population healthand welfaremanagement

• Populationgenomics,geneticsand epidemiological forecasting

• Develop andmaintaina nationally and internationally recognized, extramurally funded research program focused on applied AI and machine learning in preventiveveterinarymedicine and population health.

• Collaborate across disciplines (e.g., computer science, data analytics, public health,agriculture, medicine,and veterinary medicine) to foster cross-cutting research.

• Deliver high-quality instruction incore and elective topics, which may include veterinary preventive medicine, epidemiology, animal welfare, and data-drivendiseaseprevention and control

• Contribute to educational activities thatexpandAI literacyand promotetheresponsibleuse and evaluation ofAIin veterinary medicine

• Mentorgraduatestudents (MS/PhD) and postdoctoral fellows in applied data science and population health

• Engage with profession organizations, regulatory agencies, and industry stakeholders to advance the field of veterinary medicine

• Provide service to the department, college, and university through committee participation, academic governance, and participation inOSUAI(X) Hub.

Education and Experience Requirements

Ideal candidates willdemonstratesignificant AIexpertiseas a core element of their scholarship whether through the creation of new AI methods or novel use of AI techniques that materially advance knowledge, methods, or practice in their discipline.

For this search, “AI” includes (but is not limited to)MachineLearning(ML),DeepLearning,ReinforcementLearning,Optimization for/with ML,ProbabilisticModeling,Trustworthy/responsible AI (fairness, safety, privacy, robustness, interpretability),Human-centered AI,NaturalLanguageProcessing (NLP),ComputerVision,Robotics,Scientific/Physics-informed MachineLearning (ML),AISystems andInfrastructure,Domain-driven AI advancements in and across disciplines.

In addition to the disciplinary requirements for potential selection as a faculty, a qualified candidate willdevelop, advance, or rigorously evaluate AI methods, lead AI-centered applications that produce generalizable methodological advances (e.g., new algorithms, models,evaluationframeworks,datasets/benchmarks, or system designs),design/adapt AI approaches to solve previously intractable questions in a domain leading togeneralizableinsightsadvancements.

Routine use of off-the-shelf AI tools thatdoesnot producemethodological innovation, orfield-advancing knowledgeis not sufficient for an AI facultyhirefor this initiative.

Required:

• DVM (or equivalent) or a PhD in Epidemiology, Veterinary Preventive Medicine, Biomedical Informatics, Computer Science, Data Science, or a closely related field.

• Demonstratesatrack recordofscholarship centered onAI/ML methodologies applied to biological, medical, or population-level data.

• Evidence of, or strong potential for, securing extramural research funding.

• Strong communicationskills

Desired:

• Both a DVM and a PhD in an AI relevant field

• Board certification (or eligibility) ina relevant veterinary specialty (e.g., ACVPM, ACZM, ACVM)

• Hands-on experience deploying AI/ML models in practical, clinical, agricultural, or wildlife settings

• Prior experience teaching epidemiology, biostatistics, or digital health concepts to non-computational learners

Additional Information

The offer for this position will be based on internal equity and the candidate's qualifications.

Ohio State provides access to a depth and breadth of opportunities and resources. Starting your first day, Ohio State offers you a comprehensive benefits package.