Research Assistant Professor - Agricultural Data Scientist
University of Nebraska-Lincoln
Application
Details
Posted: 28-Mar-24
Location: Lincoln, Nebraska
Type: Full Time
Categories:
Agricultural Engineering
Years of Experience:
Less than 2
Preferred Education:
Doctorate
The Department of Biological Systems Engineering at the University of Nebraska-Lincoln (UNL) Institute of Agriculture and Natural Resources (IANR) is seeking applications for an Agricultural Data Scientist at the rank of research assistant professor. This 12-month (calendar year) non-tenure track appointment will collaborate with our existing interdisciplinary team in further development of data collection and analytical tools for integrating advanced research tools into typical crop production data systems. The apportionment is 100% research. This position will be located in Lincoln, Nebraska, though some in-state travel is expected.
The Agricultural Data Scientist will contribute to the integrated research land-grant mission of the home unit and IANR, as an effective scholar and citizen, including supporting student recruitment and IANR science literacy.
Position Duties
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.
Minimum Required Qualifications
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.
Preferred Qualifications
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.
The University of Nebraska–Lincoln is committed to offering a bold, transformative and supportive work environment that encourages employees to pursue professional development while providing necessary assistance to students. Some of the most popular campus programs available to employees include: Employee Assistance Program; employee and dependent scholarship program; University Child Care; wellness programs and activities through Campus Recreation; leaves enabling flexible work-life balance; and organization development assistance.