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At the University of Nebraska–Lincoln, you will be part of 150 years of excellence in higher education and more than 50 years of leadership in computer science, engineering, technology, and software development. As a member of the Big 10 and a distinguished, land-grant public research university, we rank among doctoral universities with the highest research activity. Listed by Forbes as one of America’s Best Large Employers and located in the flourishing community of Lincoln, Nebraska offers its faculty both a close-knit campus community and the chance to make an impact on a global scale.

Join Our Faculty

The School of Computing at the University of Nebraska–Lincoln has launched a strategic expansion and invites applications for five tenured/tenure-track faculty positions at all ranks (Assistant/Associate/Full Professor) to begin Fall 2022.

A complete list of open positions may be found here.

We seek candidates who can establish a strong scholarly research and teaching program while complementing the school’s expertise in Robotics, Internet of Things (IoT), and wireless connectivity, with a specific focus on:

  • Agricultural IoT and Robotics
  • Agricultural Sensing and IoT Systems
  • Agricultural IoT and Real-Time Power Science
  • Data Science (2 positions)

We also seek excellent candidates in areas related to Data Science, including but not limited to the following areas:

  • Informatics
  • Artificial Intelligence
  • Machine Learning

Promising candidates with interests in one of these areas are strongly encouraged to apply to all of the applicable positions.

Apply Now

Brittany Duncan
The Schorr Center

The School of Computing

The School of Computing has significant ongoing efforts in Robotics, IoT, cyber-physical systems, and embedded computing. Current research investments include:

  • $17 million in active robotics funding, including five $1M+ grants from NSF, USDA, and DoD
  • Facilities investment that includes 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
  • Selection of Ag IoT as a “Big Idea” for the university system, including internal and external investment efforts
  • • Data Science is recognized as an important component in UNL’s research and education missions, including agriculture, software engineering, cyber-physical systems, internet of things, digital humanities, and many more.

These efforts align with the university’s 2025 commitment to invest in eight grand challenge themes, which include climate resilience, sustainable food and water security, and science, engineering, and technology for society.

The NIMBUS Lab is a leader in leveraging UAS as a platform for interacting in a field environment (e.g., emplacing sensors, placing ignition spheres, water sampling, etc.) with numerous scientific and agricultural application areas. The NIMBUS Lab's leadership and success has been built on the intersection of field robotics, control, human-robot interaction, and software engineering.

The NIMBUS Lab

The school is also leading the Nebraska IoT Initiative. This initiative aims to establish a public-private partnership between the University of Nebraska, the City of Lincoln, and a consortium of industry partners to make the university a leader in Internet of Things (IoT) and Agricultural IoT (Ag-IoT). 

The University of Nebraska and the City of Lincoln have partnered on major infrastructure initiatives and led to the establishment of an interlocal agency, iLNK, to bring IoT investments under a common umbrella.

The CPN Lab

The Holland Computing Center provides campus-wide services to researchers who need high-performance computing resources. Powerful supercomputers located in the facility are used by scientists and engineers to study topics such as nanoscale chemistry, subatomic physics, meteorology, crash-worthiness and artificial intelligence. Holland resources are also used by students at the University of Nebraska-Lincoln for several courses.

HCC

The Intelligent Agents and Multiagent Systems (IAMAS) Lab studies fundamental issues in multiagent systems especially in teamwork, team-based learning, and coalition formation, builds intelligent agent solutions, and develops multiagent simulation systems. It also investigates intelligent data analytics including image processing and understanding.

The IAMAS Lab

At the Research and Innovation in Computing Education (RICE) Lab at the University of Nebraska, our mission is to investigate computing education to improve both teaching and learning of computing through (1) rigorous disciplined-based educational research, and (2) innovations of tools, course materials, techniques, and outreach activities. Our secondary mission is to promote and advocate for computing education including broader participation from under-represented groups and minorities, development of K-12 CS curricular standards, and engagement and professional development of CS teachers and educators.

The RICE Lab

About Lincoln

The University of Nebraska–Lincoln is the state's land-grant research university and ranks among Doctoral Universities with the Highest Research Activity (Carnegie CIHE).

The University of Nebraska-Lincoln is centered in the flourishing community of Lincoln, the third largest city in the Big Ten.

About Lincoln

Lincoln Chamber of Commerce

Why Lincoln is the Place to Be

An aerial view of Lincoln, Nebraska
Students on campus

Future Growth

The School of Computing is undergoing an exciting period of significant growth. The school recently hired 14 tenure and tenure-track faculty, including 8 from 2019-2021 and plans to continue expansion in the coming years.

This expansion complements the hiring by the College of Engineering, which has hired more than 50 new faculty in the last five years and plans to continue expanding the number of faculty in the coming years.

The School of Computing and the College of Engineering are committed to increasing the diversity of its faculty and seeks to attract and retain a high performing and diverse workforce in which employees’ differences are respected and valued to better meet the varying needs of the diverse populations we serve.

Engineering Inclusive Excellence

Open Positions

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. View the nondiscrimination policy.

Promising candidates with interests in one of these areas are strongly encouraged to apply to all of the applicable positions.

Assistant/Associate Professor of Agricultural Sensing and Internet-of-Things Systems

The Position

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 engineering.

AAs part of this initiative, the School of Computing (http://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 http://www.unl.edu/equity/notice-nondiscrimination.

Apply Now

Minimum 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.

Apply Now

Preferred Qualifications

Candidates with demonstrated cross-disciplinary research experience are particularly encouraged.

Apply Now

How to Apply

Click “Apply to this job” and complete the information form. Attach a cover letter, CV, research, teaching and diversity statements, and 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. After review of applications begins, those with any missing required statement may not be given full consideration.  

Apply Now

Contact

Mehmet Can Vuran
Professor
402-472-5019
mcv@unl.edu

Apply Now

Assistant/Associate Professor of Agricultural Sensing, Internet-of-Things, and Real-Time Low-Power Science

The Position

The University of Nebraska-Lincoln seeks a faculty member at the assistant or associate professor level in Agricultural Sensing, Internet-of-Things (IoT), and Real-Time Low-Power Science. 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. The computing systems that control measurement and action must operate within the strict bounds on timing and power consumption imposed by agricultural environments and field deployment. The computing and electronics required to overcome these challenges present a major research opportunity. 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 engineering.

As part of this initiative, the School of Computing (http://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 (https://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 http://www.unl.edu/equity/notice-nondiscrimination.

Apply Now

Minimum 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 real-time and low-power computing systems with an interest in agricultural applications. Candidates must demonstrate a commitment to contributing to a culture that supports diversity and inclusion.

Apply Now

Preferred Qualifications

Candidates with demonstrated cross-disciplinary research experience are particularly encouraged.

Apply Now

How to Apply

Click “Apply to this job” and complete the information form. Attach a cover letter, CV, research, teaching and diversity statements, and 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. After review of applications begins, those with any missing required statement may not be given full consideration.  

Apply Now

Contact

Mehmet Can Vuran
Professor
402-472-5019
mcv@unl.edu

Apply Now

Professor of Agricultural Internet-of-Things and Robotics Systems

The Position

The University of Nebraska-Lincoln seeks a faculty member at the full professor level in Agricultural Internet-of-Things (IoT) and Robotics Systems. Food is a universal need and computing is playing an ever increasing role in all aspects of food creation and consumption. Nebraska’s leading position in agriculture provides important interdisciplinary opportunities at the intersection of IoT/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 engineering. Candidates currently in an Associate Professor role are encouraged to apply.

As part of this initiative, the School of Computing invites applications for a tenured faculty position at the Full 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 (https://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 http://www.unl.edu/equity/notice-nondiscrimination.

Apply Now

Minimum 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 are expected to have an outstanding publication record, a history of funded research and a strong national/international reputation in the area of agricultural IoT and robotics systems. Candidates must demonstrate a commitment to contributing to a culture that supports diversity and inclusion.

Apply Now

Preferred Qualifications

Candidates with demonstrated cross-disciplinary research experience are particularly encouraged.

Apply Now

How to Apply

Click “Apply to this job” and complete the information form. Attach a cover letter, CV, research, teaching and diversity statements, and 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. Review of application materials will begin April 30, 2021 and will continue until the position is filled.  

Apply Now

Contact

Mehmet Can Vuran
Professor
402-472-5019
mcv@unl.edu

Apply Now

Assistant, Associate or Full Professor – Data Science

The Position

The brand-new School of Computing (formerly Department of Computer Science and Engineering) at the University of Nebraska-Lincoln (UNL) seeks two faculty members at any rank in data science, informatics, artificial intelligence/machine learning, and related areas. Such research areas are ubiquitous in myriad application areas spanning both UNL campuses. These positions are motivated by the School’s strategic plan to establish top programs in the development of transformative technologies for human health, agriculture, biocomputing, and robotics, and is part of a multi-year strategic hiring initiative. This goal builds upon the School’s existing strengths in informatics, artificial intelligence, and machine learning. Candidates currently in an Associate Professor role are encouraged to apply.

As part of this initiative, the School of Computing (https://computing.unl.edu) invites applications for two tenured or tenure-track faculty positions in AI/informatics/data science/machine learning at the Full, Associate, or Assistant Professor level. The successful candidates will contribute to the undergraduate and graduate academic programs within the School and demonstrate a commitment to excellence in both research and teaching.

The School of Computing was formed in August 2021 and 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 (https://hcc.unl.edu). Opportunities for collaborations include the College of Engineering; Center for Digital Research in the Humanities; Center for Brain, Biology and Behavior; the School of Biological Sciences; the Center for Intelligent Healthcare at the University of Nebraska Medical Center; 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 http://www.unl.edu/equity/notice-nondiscrimination.

Apply Now

Minimum 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 or full 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 data science, informatics, and artificial intelligence/machine learning. Candidates must demonstrate a commitment to contributing to a culture that supports diversity and inclusion.

Apply Now

Preferred Qualifications

Candidates with demonstrated cross-disciplinary research experience are particularly encouraged to apply.

Apply Now

How to Apply

Click “Apply to this job” and complete the information form. Attach a cover letter, CV, research, teaching and diversity statements, and 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. After review of applications begins, those with any missing required statement may not be given full consideration. 

Apply Now

Contact

Stephen Scott
Associate Professor
402-472-5073
sscott@cse.unl.edu

Apply Now
Contact Us with Questions

Direct questions to Search Chairs Mehmet Can Vuran at mcv@unl.edu (Positions i-iii) and Stephen Scott at sscott@cse.unl.edu (Positions iv-v).