
location_onAT&T East Lansing Central office, 337, Abbot Road, Downtown East Lansing, East Lansing, Ingham County, Michigan, 48823, United States
The Department of Large Animal Clinical Sciences (LCS) at Michigan State University is dedicated to educating the next generation of veterinary professionals, conducting research that improves the lives of animals and humans, and providing top-tier clinical services. Our diverse faculty focuses on dairy, food animal, and specialized equine services, working closely with students and veterinarians to find new solutions for a better world.
We invite a talented postdoctoral researcher to join our dynamic animal science and artificial intelligence team. This role sits within the College of Veterinary Medicine and involves close collaboration with MSU-Extension and the University of Nebraska – Lincoln.
You will develop novel algorithms to advance the use of computer vision in precision livestock farming (PLF) and improve animal welfare. The core of this project involves using metrics collected from research and commercial farms to establish a non-invasive method using thermal cameras and animal-based behaviors to reflect the animal's thermal neutral zone (TNZ).
Your work will directly impact the management of breeding swine (sows, gilts, and boars) by adapting new standards that ensure optimal animal well-being, maximize on-farm energy use, and help differentiate Michigan products for consumers. You will translate data derived from sow farms with annotated datasets to determine changes in the thermal regulatory responses of sows in open gestation pens across three seasons.
A key goal of this initiative is to foster collaboration and attract contributions from the computer vision community and farmers through the release of video-based datasets. Your involvement is crucial to the success of this effort.
In this position, you will work directly with Michigan swine producers and extension specialists to develop best practices for evaluating sow comfort, including collaborating with media specialists to create video tutorials and graphics for employee training. You will also mentor undergraduate students assisting with video annotation and work with advisors to publish findings, write grant proposals, and present at industry and science conferences.
Applications are reviewed starting March 25, 2025, and the position remains open until filled. To apply, please submit your CV, cover letter, and contact information for three references through the MSU Careers portal. For questions, please contact the search committee chair, Dr. Madonna Benjamin (gemus@msu.edu).
The preferred start date is June 1, 2025, for a 12-month fixed-term appointment, as this project is state-funded until May 31, 2026.
Michigan State University is located on one of the nation's largest and most beautiful campuses in East Lansing. The University is committed to diversity, equity, and inclusion, fostering a community where all individuals are valued and respected. The College of Veterinary Medicine aims to be the destination for teaching, innovation, care, and service, with a vision to advance diversity, equity, and inclusion through specific strategies.
East Lansing offers a vibrant collegiate atmosphere with a low cost of living and convenient access to neighboring cultural centers like Ann Arbor, Grand Rapids, Detroit, and Chicago. The region features excellent public schools and a variety of outdoor recreational activities, including inland lakes, rivers, state and national parks, and world-class golf courses across four distinct seasons.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability, or protected veteran status.
Work model: On-site
AT&T East Lansing Central office, 337, Abbot Road, Downtown East Lansing, East Lansing, Ingham County, Michigan, 48823, United States
East Lansing, Michigan
Training and experience in animal science, data analytics, artificial intelligence, and computer vision. Strong publication history.
Skills: Animal Science, Data Analytics, Artificial Intelligence, Computer Vision, Thermal Imaging, Precision Livestock Farming, Animal Physiology, Animal Management, Animal Behavior, Sensors.
Education: PhD in Animal Science, Veterinary Science, Biosystems Engineering, or related field required.