Research Assistant Professor – Agricultural Data Scientist – University of Nebraska–Lincoln, United States

• Collaborate with an existing interdisciplinary team consisting of agricultural engineers, agronomists, economists, statisticians, and computer scientists to further the development of data collection and analytical tools for integrating advanced research tools into typical crop production data systems and providing novel solutions to agricultural data management issues.
• Develop hardware (e.g., IoT and embedded) systems and software platforms for collecting, post-processing, managing, and analyzing data layers of varying spatial resolutions and temporal frequencies to extract crop performance information.
• Develop software platforms for analyzing various datasets generated from agricultural field equipment combined with data streaming from research systems (e.g., satellite, aerial, or UAV images).
• Develop analytical software tools capable of generating graphs, charts, reports and/or other actionable items for future use by agricultural professionals throughout the crop production cycle.

The incumbent is expected to secure extramural funding from federal and state agencies, industry, and private foundations as well as publish in peer reviewed journals and at national and international meetings. The incumbent may be required to provide supervision to undergraduate and graduate students and serve on graduate committees. 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.
Recognizing that diversity enhances creativity, innovation, impact, and a sense of belonging, the Institute of Agriculture and Natural Resources (IANR) and the Department of Biological Systems Engineering are committed to creating learning, research, Extension programming, and work environments that are inclusive of all forms of diversity. Consistent with the University’s N2025 Strategic Plan , every person and every interaction are treated as important to our collective well-being and our ability to deliver on our mission.
As an EO/AA employer, the University of Nebraska considers qualified applicants 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 .

• A Ph.D. in Biological Systems Engineering, Agricultural Engineering, Food Engineering, Computational Sciences, Arts and Sciences, or a closely related field,
• Demonstrated research experience in experimental data collection, post-processing, and statistical analysis resulting in peer-reviewed publications.

• Prior experience using database, networking, GIS, and/or analytical software such as SQL, MATLAB, Python, ArcGIS, or other similar software.
• Programming experience with C, VB, R, or related languages and working knowledge of database creation and statistical analysis methods.
• Demonstrated experience with advanced sensing systems (e.g., optical, magnetic, etc.) data collection.
• Demonstrated experience in programming advanced analysis tools that could be deployed remotely by others to analyze datasets.
• Working knowledge or understanding of agricultural crop production systems and data sets related to precision agriculture.

• A letter of interest that describes your qualifications for the job, your anticipated contributions to research, and your experience working in diverse teams or groups and your anticipated contributions to creating inclusive environments in which every person and every interaction matters (2-page maximum). See https://ianr.unl.edu/tips-writing-about-commitment-to-deib for guidance in writing this statement).
• Your curriculum vitae.
• Contact information for three professional references.