Career Center

The Department of Agronomy and Horticulture within the Institute of Agriculture and Natural Resources (IANR) at University of Nebraska-Lincoln is seeking applicants for an open rank. tenure-leading/tenured position in Plant Theoretical Quantitative Genetics. This position will contribute to the integrated research and teaching land-grant mission of IANR, as effective scholar and citizen, including supporting student recruitment and IANR science literacy.

Research 70%
Successful candidate will contribute towards IANR-wide goals to improve agricultural productivity, health and resilience through development and use of quantitative and statistical modelling approaches. The successful candidate is expected to conduct an innovative, externally funded, and collaborative quantitative genetics program focusing on plant adaptation to climate change and agriculture productivity. In addition to plant breeding and genetics, the selected candidate will have opportunities to collaborate on areas of computational biology, animal science and statistics. IANR has made significant investments in state-of-the-art crop phenomics infrastructure (in field and controlled environments; https://ard.unl.edu/phenotyping). Leveraging these infrastructural investments and collaboration with crop breeding, genomics and phenomics researchers is highly encouraged. Access to crop phenomics facilities present unique opportunity to develop genetic methodologies for longitudinal dataset with high spatiotemporal resolution especially for research themes focused on interactions between genotype and environment in context of climate resilience and sustainable agriculture.

Teaching 30%
Incumbents are expected to have strong commitment for graduate and undergraduate teaching, including online delivery. Teaching responsibilities will include a graduate level course in quantitative genetics for students from multiple UNL-IANR units and contribute towards undergraduate courses to help meet the needs of Agronomy and Horticulture. Development of graduate coursework aimed at training students in large-scale data integration (e.g. omics dataset) is encouraged. This position is expected to develop a strong mentoring program for graduate students. Opportunities also exist for mentoring of undergraduate students on research projects. As a College of Agricultural Science and Natural Resources (CASNR) faculty member, the successful candidate is expected to participate in teaching-related activities outside of the classroom. These activities include enhancing science literacy of the public and undergraduate recruitment.

The incumbent will develop a high-impact, nationally and internationally recognized research and teaching program in quantitative genetic; seek and establish effective disciplinary and transdisciplinary collaborations including effective integration with research groups, and educational programming; connect with stakeholders, agency, and/or industry partners to strengthen research and educational programming; effectively obtain and leverage external and internal support for research and teaching activities; mentor graduate students; publish in high-quality, high-impact peer-reviewed journals, and participate in scientific meetings and other appropriate professional activities; and, translate research-based information into learner-centered products.

In addition, the individual will be expected to accept committee assignments, reporting responsibilities, and other special ad hoc assignments as requested at the administrative unit, college/division, institute, and/or university level.

Recognizing that diversity within a context of inclusivity enhances creativity, innovation, impact, and a sense of belonging, the Institute of Agriculture and Natural Resources (IANR) and the Department of Agronomy and Horticulture are committed to creating learning, research, Extension programming, and work environments that are inclusive of all forms of human diversity. We actively encourage applications from and nominations of qualified individuals from underrepresented groups.

As an EO/AA employer, qualified applicants are considered for employment without regard to race, color, ethnicity, national origin, sex, pregnancy, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, marital status, and/or political affiliation. See https://www.unl.edu/equity/notice-nondiscrimination.