Post-Doctoral Research Associate at University of Nebraska-Lincoln

The Department of Agronomy and Horticulture, University of Nebraska-Lincoln invites applications for a Post-Doctoral Research Associate position in the area of quantitative genetics and plant breeding. This is a 12-month, 100% research, non-tenure leading position established for a period of one year. Continuation of the position beyond one year is dependent upon satisfactory performance. Funding for this position is from a University of Nebraska endowment and will be available on September 1, 2019.

The successful candidate will be responsible for conducting studies on the optimization and deployment of statistical tools and uses of DNA marker information for small grains breeding with a particular emphasis on releasing improved winter barley and winter triticale cultivars and breeding methods. This is an excellent opportunity for anyone desiring to step into this cutting-edge area of plant breeding research and help manage and shape an applied breeding program.

Research activities will largely consist of identifying and characterizing useful germplasm; developing and utilizing quantitative genetics theory; data collection and analysis; and computer simulations to help answer design and modeling questions surrounding plant breeding. In addition, the incumbent will help with wheat breeding program management, field research, and graduate student mentoring in the area of modern plant breeding.
As appropriate to the appointment, the incumbent will: develop a high-impact, nationally and internationally recognized research program in plant breeding; seek and establish effective disciplinary and transdisciplinary collaborations, including effective integration with research groups, extension action teams, and/or educational programming; connect with stakeholders, agency, and/or industry partners to strengthen research programming and its impact; effectively obtain and leverage external and internal support (grants, fee revenue, etc.) for research 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. This includes: creating scholarly, innovative, and high impact learning programs and tools; identifying issues and opportunities focused on learner needs and emerging regional and national issues with international relevance; measuring the impact of your programs and communicating results to administrators, stakeholders, users, and media; and mentoring colleagues through professional development, translational research, grants, and professional writing.

In addition to the above-described duties, 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.

Required qualifications include: (1) Ph.D. in plant breeding, quantitative/statistical/population genetics, or a related discipline; (2) knowledge in quantitative, population, or statistical genetics; (3) knowledge of programming in a statistical software package such as ASREML, SAS, or R; (4) demonstrated ability to publish original research in peer-reviewed journals; and (5) excellent written and verbal communication skills. Previous post-doctoral, visiting scientist, or program leadership experience in plant breeding is highly preferred.

To view details of the position and make application, go to, requisition F_180194. Click “Apply to this job” and complete the information form. Attach a cover letter, curriculum vitae, college transcripts, and contact information for three professional references. Review of applications to begin November 16, 2018 and continue until the position is filled or the search is closed.

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

Time remaining: 11%
13/04/2019 (2 weeks)