Post-Doctoral Fellow in Predictive Plant Breeding using Machine Learning, Statistics, and Quantitative Genetics at University of Arkansas

 Post-Doctoral Fellow in Predictive Plant Breeding using Machine Learning, Statistics, and Quantitative Genetics at University of Arkansas

Post-Doctoral Fellow in predictive plant breeding using Machine Learning, Statistics, and quantitative genetics at University of Arkansas; Division of Agriculture of the University of Arkansas. The University of Arkansas System Division of Agriculture is a state wide campus, with faculty based on University campuses, at Research and Extension Centers and in every Arkansas county. It consists of the Arkansas Agricultural Experiment Station (AES) and the Arkansas Cooperative Extension Service (CES), and is home to more than 1400 employees.  The Division was established in 1959 and is headed by the Vice-President for Agriculture. 

The Division headquarters is located in Little Rock with the rest of the University of Arkansas System Administration.  As an employer, the University of Arkansas System Division of Agriculture offers a vibrant work environment and a workplace culture that promotes a healthy work-life balance. Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening.  To apply for the position, please click the Apply link/button.

If you have a disability and need assistance with the hiring process and require reasonable accommodations, please contact the Division’s Office of Inclusion, Access, and Compliance at bbatiste@uada.edu. For general application assistance or if you have questions about a job posting, please contact Human Resources at 501-671-2219 or 479-502-9820.

Department’s Website:Summary of Job Duties:

• Develop new machine-learning models to incorporate multi-omics data;
• Conduct simulations studies to optimize genomic prediction and GWAS models;
• Publication of scholarly works;
• Occasional grant writing;

Qualifications: Minimum Qualifications: Ph.D. in Plant Breeding, Quantitative Genetics, Bioinformatics, Statistics, Computer Science, or related field.

Preferred Qualifications:

• Proficiency in R, Python, or other programming languages.
• Experience with machine learning
• Successful applicants should be highly motivated and creative.
• Excellent interpersonal and communication skills with a demonstrated ability to publish original research in peer-reviewed journals.
• Previous experience using genomic data for mapping and/or prediction.

Additional Information: Salary Information: Commensurate with education and experience. Required Documents to Apply: Cover Letter/Letter of Application, List of three Professional References (name, email, business title), Resume. Optional Documents: Special Instructions to Applicants: Recruitment Contact Information: Daniela Kidd – drkidd@uark.edu Please do not send to listed recruitment contact. Pre-employment Screening Requirements: Motor Vehicle Reports Check

The University of Arkansas System Division of Agriculture may conduct pre-employment background checks on certain positions for applicants being considered for employment.  The background checks may include a criminal background check and a sex offender registry check.  Required checks are identified in the position listing.  A criminal background check or arrest pending adjudication information alone shall not disqualify an applicant in the absences of a relationship to the requirements of the position.  Background check information will be used in a consistent, non-discriminatory manner consistent with the state and federal law.

The University of Arkansas is an equal opportunity, affirmative action institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of age, race, color, national origin, disability, religion, marital or parental status, protected veteran status, military service, genetic information, or sex (including pregnancy, sexual orientation, and gender identity). Federal law prohibits the University from discriminating on these bases. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the University’s Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights.

Persons must have proof of legal authority to work in the United States on the first day of employment. All application information is subject to public disclosure under the Arkansas Freedom of Information Act.

Constant Physical Activity: Manipulate items with fingers, including keyboarding, Repetitive Motion, Sitting; Frequent Physical Activity: Reaching, Standing, Talking. Occasional Physical Activity: Hearing, Pulling, Pushing; Benefits Eligible: Yes

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