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

Columbus, OH • On-site

The Ohio State University
Scientific Research and Development Services • 51 - 200 employees

Full-time

Medical, Dental, Vision, Retirement

Posted 13 days ago


Key responsibilities

  • Conduct innovative, translational research at the intersection of advanced computational data science and veterinary medicine.

  • Maintain an extramurally funded research program focused on developing or applying AI/ML methods to improve animal health and welfare.

  • Provide instruction to veterinary and graduate students on topics related to preventive medicine, animal welfare, disease diagnosis, and AI literacy.


Job description

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Job Title:
Assistant/Associate Professor of Artificial Intelligence and Machine Learning in Veterinary Population Health
Department:
Veterinary Medicine | Veterinary Preventive Medicine
Tenure faculty (regardless of rank) - persons with the titles of professor, associate professor, assistant professor and instructor who serve on appointments totaling 50% or more service to the university and who are eligible for tenure or who have obtained tenure. Duties and responsibilities are assigned in accordance with the workload guidelines laid out in the pattern of administration of each faculty member's tenure initiation unit (TIU) and, as appropriate, regional campus; obligations will include research, service and/or teaching or clinical practice. These faculty will have earned doctorate or other terminal degree in the relevant field of study or possession of equivalent experience.
Additional Information:
Assistant/Associate Professor of Artificial Intelligence and Machine Learning in Veterinary Population Health
Department of Veterinary Preventive Medicine
College of Veterinary Medicine
Position Overview
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 exisiting 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 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 research using AI/ML approaches to address challenges in veterinary medicine, disease prevention and control, and population health. Illustrative examples include:

  • Traditional and syndromic disease surveillance

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

  • Predictive modeling for disease prevention, diagnosis, treatment, and population health and welfare management

  • Population genomics, genetics and epidemiological forecasting

  • Develop and maintain a nationally and internationally recognized, extramurally funded research program focused on applied AI and machine learning in preventive veterinary medicine 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 in core and elective topics, which may include veterinary preventive medicine, epidemiology, animal welfare, and data-driven disease prevention and control

  • Contribute to educational activities that expand AI literacy and promote the responsible use and evaluation of AI in veterinary medicine

  • Mentor graduate students (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 in OSU AI(X) Hub.

Education and Experience Requirements
Ideal candidates will demonstrate significant AI expertise as 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) Machine Learning (ML), Deep Learning, Reinforcement Learning, Optimization for/with ML, Probabilistic Modeling, Trustworthy/responsible AI (fairness, safety, privacy, robustness, interpretability), Human-centered AI, Natural Language Processing (NLP), Computer Vision, Robotics, Scientific/Physics-informed Machine Learning (ML), AI Systems and Infrastructure, Domain-driven AI advancements in and across disciplines.
In addition to the disciplinary requirements for potential selection as a faculty, a qualified candidate will develop, advance, or rigorously evaluate AI methods, lead AI-centered applications that produce generalizable methodological advances (e.g., new algorithms, models, evaluation frameworks, datasets/benchmarks, or system designs), design/adapt AI approaches to solve previously intractable questions in a domain leading to generalizable insights advancements.
Routine use of off-the-shelf AI tools that does not produce methodological innovation, or field-advancing knowledge is not sufficient for an AI faculty hire for 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.

  • Demonstrates a track record of scholarship centered on AI/ML methodologies applied to biological, medical, or population-level data.

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

  • Strong communication skills

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

  • Board certification (or eligibility) in a 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.
How to Apply
To be considered, please submit your application electronically via Workday [insert link to posting for advertisements]. Application materials must include:
Application closes 09/15/2026
Required:
  • Cover letter

  • Curriculum Vita (CV)

  • Statement of Research

  • Statement of Teaching and Mentoring

Additional information regarding this search or the position can be obtained by contacting Dr. Greg Ballash at ballash.4@osu.edu.
The College
The Ohio State University College of Veterinary Medicine (OSU CVM) is a nationally recognized leader in veterinary education, research, and clinical service, committed to improving animal and human health through innovation and collaboration. Home to state-of-the-art facilities and a vibrant academic community, the College offers exceptional opportunities for professional growth, interdisciplinary partnership, and impactful scholarship. The Ohio State University College of Veterinary Medicine is ranked among the top North American Colleges of Veterinary Medicine. We support diverse beliefs and the free exchange of ideas and expect that faculty, staff, and students promote these values and apply them in a professional manner in all academic endeavors.
Department Information
The Department of Veterinary Preventive Medicine provides the major preventive medicine and public health focus for the OSU College of Veterinary Medicine. There are approximately 30 faculty members in the department located at the College of Veterinary Medicine in Columbus and The Ohio State Large Animal Services at Marysville. The department has world-class facilities and strong collaborative programs that focus on a wide variety of animal populations. This infrastructure provides extensive teaching resources and considerable opportunity for collaborative research. The application of innovative approaches to problem solving and collaborative efforts have enabled faculty in the department to be competitive in obtaining external funding and be successful in training high-quality graduate and veterinary students.
The University
Ohio State is a top-20 public university, and its Ohio State Wexner Medical Center is one of America's leading academic health centers. Eligible Ohio State employees receive comprehensive benefits packages, including medical, dental and vision insurance, tuition assistance for employees and their dependents, and state or alternative retirement options with competitive employer contributions.
Grounded in Ohio State University's Shared Values, our university community welcomes differences, encourages open-minded exploration and courageous thinking, and upholds freedom of expression.
Ohio State is a dynamic community where opportunity thrives, and individuals transform themselves and their world. Positions are available in countless fields and specialties. Become a Buckeye and contribute to an incredible legacy that serves to guide our future and shape a better tomorrow.
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