Working Title Asst/Assoc Prof - Agricultural Sensing and Internet-of-Things
Department Engineering Computer Science-9301
Requisition Number F210151
Posting Open Date 10/07/2021
Application Review Date: (To ensure consideration, please submit all
application materials before review date) 12/01/2021
Posting Close Date
Open Until Filled Yes
Description of Work
The University of Nebraska-Lincoln seeks a faculty member at the assistant or
associate professor level in Agricultural Sensing and Internet-of-Things
(IoT) Systems. Food is a universal need and computing is playing an ever
increasing role in all aspects of food creation and consumption. Successfully
impacting the food chain will require measurement of characteristics of plants
and animals. Seed-to-table/calf-to-table sensing and data analysis can capture
and correlate data over time and space to improve the safety of the food
supply, enhance end-user satisfaction, and improve the efficiency of the food
supply chain. Nebraska's leading position in agriculture provides important
interdisciplinary opportunities at the intersection of IoT, field robotics,
and agriculture. This position is motivated by the department's strategic plan
to develop top programs in Agricultural IoT (Ag-IoT) and field robotics.
This goal builds upon the department's existing strengths in communications
and networking, robotics, embedded computing, data analytics, and software
As part of this initiative, the School of Computing
(https:// computing.unl.edu) invites applications for a tenure-track faculty
position at the Assistant or Associate Professor level. The successful
candidate will contribute to the undergraduate and graduate academic programs
within the department and demonstrate a commitment to excellence in both
research and teaching.
The School of Computing consists of 45 faculty, 900 undergraduate students,
and 125 graduate students. UNL offers an outstanding infrastructure for
conducting research, including a remotely accessible city-wide wireless
testbed, indoor and outdoor aerial robotics facilities, access to farm test
plots, a full range of computing facilities, and the Holland Computing Center
(hcc.unl.edu). Opportunities for collaborations include the College of
Engineering and the Institute of Agriculture and Natural Resources.
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
https:// www. unl.edu/equity/notice-nondiscrimination.
Minimum Required Qualifications
Applicants are expected to have a Ph.D. or equivalent in computer science,
computer engineering, or a closely related field. Applicants must have a
record of strong scholarly achievement and a demonstrated commitment to
excellence in undergraduate and graduate education.
Candidates at the assistant professor level must have the potential to
establish a strong externally funded research program, while candidates at the
associate professor level are expected to have an outstanding publication
record, a history of funded research, and a strong national/international
reputation in the areas of sensing, field robotics, and/or IoT systems with an
interest in agricultural applications. Candidates must demonstrate a
commitment to contributing to a culture that supports diversity and inclusion.
Candidates with demonstrated cross-disciplinary research experience are
Pre-Placement Driving Record Review Required
Criminal History Background Check Required No
How to Apply
Click “Apply to this job” and complete the information form. Attach the
A cover letter.
Research, teaching and diversity statements.
A list of three references.
Note, please combine teaching, research and diversity statements into a single
pdf document and attach as “Other Document.”
Applicants are strongly encouraged to review the rubrics used by our search
committees to evaluate candidate statements:
https: // engineering.unl.edu/candidate-statements. After review of applications
begins, those with any missing required statement may not be given full
For questions or accommodations related to this position contact
Nancy Re, Human Resources Specialist, firstname.lastname@example.org
Job Category (old) Faculty Tenure/Tenure Leading
Job Type 9 Month
Position funded by grant or other form of temporary funding? No
If Temporary, indicate end date
Planned Hire Date
Appointment End Date
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List of References