Open Faculty Positions

The Department of Computer Science and Computer Engineering at the University of Arkansas invites applications for two faculty positions, one of which may qualify for an endowed chair.  We have a tenured associate or full professor position and a tenure-track assistant professor position, both with a start date of August 2017.  For the associate or full professor position, we are interested in applicants with expertise in big data analytics, which includes (but is not limited to) data mining, machine learning, big data management, data and visual analytics, and cloud computing systems. Applicants with expertise in big data applications are also welcome.  Salary is very competitive.  For the tenure-track assistant professor position, we are interested in applicants within the areas of artificial intelligence, machine learning, cybersecurity, or cyber-physical systems.

The senior position was created to support a campus-wide initiative to grow capabilities in the area of advanced data analytics. The successful candidate is expected to conduct collaborative research in the emerging interdisciplinary Institute of Advanced Data Analytics. Applicants for the senior position must have a Ph.D. in computer science, computer engineering, or related discipline. They must present an excellent track record in scholarship and sustained external funding and be able to provide evidence of high scholarly productivity through publication and service, as well as excellent teaching at the undergraduate and graduate levels. Preferred qualifications include experience teaching at an accredited, higher education environment, national and international recognition in big data analytics, and have achieved the rank of Associate Professor with tenure or Professor with tenure.  Candidates whose current rank is Professor or whose credentials warrant appointment at the full professor level with exceptional track records in scholarship and external funding will be considered for an endowed position as the holder of the Earl J. and Lillian P. Dyess Chair in Research Excellence.  An endowment will provide the successful candidate with significant resources to continue and further the scholar’s contributions to teaching, research, and public service.

Applicants for the assistant professor position must have a Ph.D. in computer science, computer engineering, or a related discipline and present a promising track record in scholarship through refereed publications. Preferred qualifications include experience teaching in the field of computer science, computer engineering, or a related discipline in an accredited, higher education environment.

For a complete position announcement and information regarding how to apply, visit for the senior position and for the junior position. Applicants for the both positions should submit (1) a letter of interest, (2) complete curriculum vitae, (3) statements of research and teaching, and (4) the names, titles, addresses, and contact information of four references for the associate or full professor position and three references for the assistant professor position. All application materials must be uploaded to the University of Arkansas’s employment system at with respective position numbers listed above. Please do not send to listed recruitment contact. Completed applications received by January 15, 2017 will be assured full consideration. Late applications will be reviewed as necessary to fill the position. Inquiries or questions may be directed to:

Dr. Susan Gauch
Chair, CSCE Faculty Search Committee

The CSCE Department offers BS and MS degrees in Computer Science and in Computer Engineering as well as PhD degrees in Engineering with Computer Science or Computer Engineering as concentrations. The department consists of 17 full-time faculty members and is housed in the state-of-the-art J.B. Hunt Transport Services Inc. Center for Academic Excellence with modern faculty offices, laboratories suitable for computational research, and classrooms. The Department is active in research and the average amount of new research awards per tenure track faculty member is $191K for the fiscal year of 2015-2016. Four of our faculty members are NSF CAREER award recipients. In addition, the Department is a strong participant in the university’s High Performance Computing (HPC) Center that allows its students and faculty access to additional computing resources.

The College of Engineering consists of eight departments that offer BS degrees in nine disciplines, MS degrees in ten disciplines, and a PhD degree in Engineering with several concentrations. The undergraduate enrollment in the college currently stands at over 3,000 and the graduate enrollment stands at almost 900. The college has 108 tenure/tenure-track full-time faculty associated with it and externally funded annual research expenditures of approximately $20M. The college is a partner in a newly created NSF Engineering Research Center and multiple NSF I/UCRCs.

The University of Arkansas has invested over $450 million on newly expanded and modernized facilities since 2011. The campus enrollment is over 27,000 in 2016. The university was classified as a “research university with very high levels of research activity” by the Carnegie Foundation in 2011. The U.S. News & World Report identified the University of Arkansas as one of the country’s nine up-and-coming public universities and the Chronicle of Higher Education listed the university as one of the best in the country in which to work.

Northwest Arkansas is a vibrant economic region having a population of over 500,000 and is home to the corporate headquarters of Walmart, Tyson Foods, and J.B. Hunt Transport Services, all Fortune 500 companies. Fayetteville, the home of the University of Arkansas, is #3 Best Place to Live among the cities in the US according to the recent rankings from the US News and World Report.  For more information about the University and its location, see

The University of Arkansas is an equal opportunity, affirmative action institution. The university welcomes applications without regard to age, race, gender (including pregnancy), national origin, disability, religion, marital or parental status, protected veteran status, military service, genetic information, sexual orientation or gender identity.  Persons must have proof of legal authority to work in the United States on the first day of employment. All applicant information is subject to public disclosure under the Arkansas Freedom of Information Act.