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

Assistant/Associate Professor of Artificial Intelligence and Machine Learning in Veterinary Population Health The Ohio State University Columbus, OH The Department of Veterinary Preventive Medicine in the College of Veterinary Medicine at The Ohio State University invites 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 challenges in veterinary medicine, disease prevention and control, and population health. Ideal candidates will have a strong background in AI/ML and a demonstrated ability to translate advanced analytical approaches into meaningful discoveries and practical applications relevant to animal health and welfare. This position complements The Ohio State University’s AI Hiring Initiative to harness 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 veterinary medicine. 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. 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 serve in department, college, and university level initiatives including the OSU AI(x) Hub that aims to pioneer AI innovation for the public good. They will also have the opportunity to engage with regulatory agencies and external stakeholders to use AI to advance veterinary medicine. The specific distribution of effort will be adjusted to reflect the strengths and interests of the successful candidate but will remain predominately focused on 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 evaluationofAIin 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. 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. The university is an equal opportunity employer, including veterans and disability. #J-18808-Ljbffr The Ohio State University