The Quantitative Life Sciences Initiative in the Department of Statistics at the University of Nebraska-Lincoln (UNL) Institute of Agriculture and Natural Resources (IANR) is seeking applications for a highly motivated and enthusiastic postdoctoral research associate. This 12-month (calendar year) postdoc researcher will develop innovative algorithms and methods for the analysis of volumetric 3D x-ray CT image data sets (time series and replicate samples). The analyses will include the segmentation of plant roots from soil in high-resolution 3D CT images collected for agricultural research; further analyses will include the statistical association of derived plant-root traits with genotypic and other phenotypic data. Development of these methods will involve both software and algorithms from statistical AI/machine learning, computational modeling, and distributed computing applications applied to very large volumetric data sets. The successful candidate will consult with faculty, collaborators, and other postdoctoral associates to assess what machine learning and statistical analyses are relevant to meet objectives, synthesizing and publishing findings in high-impact peer-reviewed journals, and presenting the results at national and international venues. The apportionment is 100% research. This position will be located in Lincoln, Nebraska.

Recognizing that diversity enhances creativity, innovation, impact, and a sense of belonging, the Institute of Agriculture and Natural Resources (IANR) and the Department of Statistics 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, we see every person and every interaction as important to our collective well-being and our ability to deliver on our mission.

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

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.