Assistant Professor - Quantitative Genetics and Genomics
South Dakota State University
Application
Details
Posted: 14-Mar-23
Location: Brookings, South Dakota
Type: Full Time
Salary: Commensurate with experience
Specialty:
Agronomy
Crop Science
Required Education:
Doctorate
Additional Information:
Employer will assist with relocation costs.
The Department of Agronomy, Horticulture and Plant Science (AHPS) at South Dakota State University (SDSU) invites applications to fill a nine-month, full-time, benefit eligible, tenure-track Assistant Professor of Quantitative Genetics and Genomics with teaching (20%) and research (80%) responsibilities. This position is supervised by the department head of Agronomy, Horticulture and Plant Science and is open until filled.
South Dakota State University promotes access to and opportunities for all to receive the benefit of and participate in education, research, and service and is especially interested in candidates that can contribute to this land-grant mission of access.
Responsibilities:
The incumbent is expected to lead a nationally, and internationally recognized research program in quantitative genetics and genomics. This program will contribute to innovative and competitive plant breeding and genetics programs at SDSU by applying modern quantitative genetics and data science approaches to crop improvement for addressing challenges like climate resiliency, sustainability, human health, and adding value to economically important crops of the northern Great Plains.
The goal is to deploy the next-generation genomics methods integrated with empirical and computational approaches to realize accelerated genetic gain, optimize resource allocation, and enhance the overall efficiency of plant breeding programs in the AHPS department.
MINIMUM QUALIFICATIONS:
Ph.D. in Genetics, Plant Breeding, Plant Science or a closely related discipline emphasizing quantitative genetics and genomics approaches.
Knowledge in applied plant breeding.
Potential for scholarly publications in peer-reviewed journals.
Ability to communicate effectively, both verbally and in writing.
PREFERRED QUALIFICATIONS:
Ability to teach undergraduate and/or graduate courses.
Knowledge of Genomic selection, predictive modeling, and/or marker discovery.
Knowledge of Prediction software such as JMP genomics, Python, or R
Potential for competitive grant writing and leadership.
