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Assistant Professor, Machine Learning in Animal Omics

University of Illinois, Department of Animal Sciences
Urbana, Illinois
Commensurate with qualifications and experience
Closing date
Dec 26, 2022

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Assistant Professor, Machine Learning in Animal Omics

Department of Animal Sciences

University of Illinois Urbana-Champaign


Position: Assistant Professor, Full-Time Tenure-Track Faculty Position in Machine Learning in Animal Omics in the Department of Animal Sciences (60% Research | 30% Teaching | 10% Service)


Everything we do is designed to improve the quality of life of the people in the state of Illinois, across the nation, and around the world. We discover, develop, translate, and disseminate knowledge to address societal concerns and train the next generation of experts and leaders in a way that empowers them to expand the boundaries of science to higher levels of understanding and influence.

Be a part of our story.

This position is available through a strategic departmental hiring plan to expand research and education to provide safe, reliable food for a growing world population, and to improve animal growth efficiency, health, and well-being. This position will focus on data science and machine learning in animal omics analyses. Needed are new computational tools to understand complex intracellular and extracellular processes that regulate animal physiology. Advances in this area can discover unrecognized opportunities for optimizing animal health, production efficiency, and well-being. This opportunity builds on our history and ongoing research in genetics, nutrition, meat science, precision management, immune and reproductive physiology, microbiology and animal systems with application to livestock and biomedical research and strengthens the preeminence of the Department of Animal Sciences.

The Department of Animal Sciences invites applications for a faculty position in the area of data science and machine learning in animal omics analyses (genomics, phenomics, epigenomics, transcriptomics, proteomics, metabolomics, and microbiomics). The person hired will develop a nationally and internationally recognized, extramurally funded research program in animal omics by implementing data science and machine learning methodologies to large heterogeneous data sets. Expertise in machine learning and biostatistics, with special reference to computational methods development and applications to animal growth and physiology is required. The person hired will teach undergraduate and graduate courses in these areas of expertise.

Qualifications: Ph.D. degree in Animal Science, Biology, Genomics, Bioinformatics, Computational Biology, Computer Science, Bioengineering, or other related fields, with a research emphasis on animal omics. Preferred qualifications include postdoctoral experience, strong record of publication, demonstrated ability to secure extramural funding, and experience teaching and mentoring students.

Responsibilities: The successful candidate will develop a nationally and internationally recognized research program supported by extramural funding, contribute to academic programs related to applications of data science and machine learning in animal omics, and perform other services expected at an academic institution.

Proposed Start Date: August 16, 2023

Salary: Commensurate with qualifications and experience

Appointment Details: This 9/12 tenure-track faculty position is 100% FTE

Location: The University of Illinois Urbana-Champaign ( is located approximately 120 miles south of Chicago in a metropolitan area of approximately 232,000 people.

Resources: The Department of Animal Sciences has outstanding facilities with convenient access to laboratory and farm animal research units ( The campus is home to internationally recognized facilities and interdisciplinary programs including the Carl R. Woese Institute for Genomic Biology (, Beckman Institute (, Cancer Center at Illinois ( W.M. Keck Center for Comparative and Functional Genomics (, National Center for Supercomputing Applications (, the Center for Digital Agriculture (, Interdisciplinary Health Sciences Institute (, and Personalized Nutrition Initiative (

The College of Agricultural, Consumer and Environmental Sciences (ACES) ( is widely recognized for excellence in undergraduate and graduate education, research, outreach, and international programs. In addition to its mission as a land-grant university, the campus offers exceptional programs in the arts, humanities, sciences, engineering, and computer science.

Closing Date: For initial consideration, the following materials, including reference letters, should be uploaded by January 15, 2023. However, the search will continue until a suitable candidate is found.

Applicants: Apply for this position using the Apply Now button at the top or bottom of the posting at and upload a cover letter which explicitly states your interest in being considered for the position in Machine Learning in Animal Omics; a curriculum vitae; a statement of research interests (including future plans); a statement of teaching philosophy; a statement demonstrating a commitment to diversity, equity, and inclusion; the names and contact information of three references; and three reference letters.

Questions can be directed to Rex Gaskins, Chair of the Search Committee (, or to Rodney Johnson, Head of the Department, ( Additional information about the department can be found at

For questions regarding the application process, please contact 217-333-2137.

The University of Illinois System is an equal opportunity employer, including but not limited to disability and/or veteran status, and complies with all applicable state and federal employment mandates. Please visit Required Employment Notices and Posters to view our non-discrimination statement and find additional information about required background checks, sexual harassment/misconduct disclosures, COVID-19 vaccination requirement, and employment eligibility review through E-Verify.

Applicants with disabilities are encouraged to apply and may request a reasonable accommodation under the Americans with Disabilities Act (2008) to complete the application and/or interview process. Requests may be submitted through the reasonable accommodations portal, or by contacting the Accessibility & Accommodations Division of the Office for Access and Equity at 217-333-0885, or by emailing


Requisition ID: 1013336

Job Category: Faculty

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