UNL Institute of Agriculture and Natural Resources (IANR) and Agricultural Research Division Seeks Data Management Specialist

March 19, 2021

See website for more information: https://employment.unl.edu/postings/71986

Description of Work :
This position will support our recent excellent faculty hires who are working on cutting edge research in their disciplines, and collaborating across disciplinary boundaries in our systems teams. The incumbent will work with the Holland Computing Center, ITS, Libraries, and external Federal partners (e.g., Agricultural Research Service, USDA) to initiate the development of agricultural data architecture, configuration, and analytic technologies that will allow our researchers to store (short and long-term), visualize, show workflow, use version control (i.e., keep previous versions), integrate heterogeneous data, capture metadata (that can be expandable), guarantee compatibility between systems, and offer onsite analysis (i.e., avoid downloads).

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 Agricultural Research Division are committed to creating learning, research, extension programming, and work environments that are inclusive of human diversity. We actively encourage applications from and nominations of 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 http://www.unl.edu/equity/notice-nondiscrimination.

Minimum Required Qualifications:
PhD in computer science, geospatial science, machine learning, agricultural sciences or related field; experience in data infrastructure design and development; experience in working with large-scale unstructured datasets: time series, geospatial (vector and raster), images, and video streams.

Preferred Qualifications:
Understanding of agricultural and natural resources data; demonstrated ability to multitask; oral and written communication skills; student/staff training ability at the college level; experience in publishing technical papers, reports and other products (such as software packages and apps).

For questions or accommodations related to this position contact:
Alesia Zaruba

Job Posting: https://employment.unl.edu/postings/71986