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Assistant/Associate/Full Professor of Computer Science

University of Cincinnati
Ohio, United States
Salary Commensurate with experience
Start date
Jun 22, 2021

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Position Type
Faculty Positions, Science, Technology & Mathematics, Engineering
Employment Level
Tenured/Tenured Track
Employment Type
Full Time
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Assistant/Associate/Full Professor of Computer Science

(Final Rank/Title commensurate with credentials)

Department of Electrical Engineering and Computer Science

University of Cincinnati


The University of Cincinnati (UC) Department of Electrical Engineering & Computer Science (EECS) ( in the College of Engineering and Applied Science (CEAS) invites applications for multiple full time tenured or tenure-track positions at the Assistant, Associate, or Full Professor levels in the  area of  Computer Science with the possibility to begin as early as January 1, 2022.  We seek candidates in the areas of computer science, such as, but not limited to:

  • Artificial Intelligence (AI):  AI approaches for Image processing and understanding; Natural language processing and understanding; Text processing and mining; machine learning systems for Big Data; Deep learning based approaches for image and text processing; inference and learning in Robotic systems; Analysis of machine learning and AI systems for their explainability, security vulnerabilities, and trust; Formal verification of AI and machine learning algorithms and their pipelines for security and trustworthiness;              
  • Operating Systems and Computer Networks: Distributed and Real-Time operating systems; Networked and cloud computing systems; Parallel and distributed systems; Computer networks; wireless networks and distributed sensor systems;
  • Cybersecurity: malware analysis and reverse engineering systems; network intrusion detection systems; AI and machine learning based systems for intrusion detection and systems and network security; security analysis and systems for real-time embedded systems. 

Rank, salary, and startup funding commensurate with credentials.

Primary Responsibilities:  Teaching graduate and undergraduate courses related to the candidate’s area of expertise, in online and in traditional classroom settings; participating in service related activities, such as departmental and/or college committee memberships; developing an externally funded research program in their field of expertise; advising graduate and undergraduate students; and publishing research results in professional journals and refereed conference proceedings. In addition, the chosen candidates will participate in curriculum and course development.

EECS is dedicated to educational excellence and developing and sustaining premier research programs with national and international recognition. The chosen candidates will be expected to contribute (at both the graduate and undergraduate level) to the department’s educational and mentoring mission of preparing students to become high-performing professionals in the workplace. The chosen candidates will also be expected to contribute to the advancement of research missions within the department and college. In addition, the chosen candidates will be expected to further the strategic goals of the Department, the College, and the University via collegial collaboration and teamwork both within the EECS Department and with other CEAS departments, across the University, and with regional industries. The candidate will work with the other Faculty in the Department and the Department Head to reach the goals set by the upper administration which include increasing the enrollment of students at both the undergraduate and graduate levels and increasing the overall level of research funding in the department through collaborative efforts within the university and with other academic, industrial, and government laboratories.

Minimum Qualifications:  All of the following prior to effective date of appointment: a Ph.D. in Computer Science or a closely related field; a minimum of 2 academic years of teaching experience in the relevant area of expertise; and a research background in relevant area of expertise, demonstrated by a record of top-tier publications, and, as a requirement for application, a research plan (to include a short-term plan of 3-5 years and a long-term plan of 6-10 years).

Application Process: Interested candidates should create an Applicant Profile at (Position #67165) and upload a current CV/Resume and cover letter summarizing research and teaching interests. Under the ‘Additional Documents’ section, interested candidates should also upload a statement of research plans, a statement of teaching experience and philosophy, a diversity statement, as well as names and contact information for at least three references. Further documentation, including letters of recommendation and representative publications, may be separately requested by the search committee at a later date.


Review of applications will continue until the positions are filled.

The University of Cincinnati is a major research university in an urban and diverse community. The University’s research portfolio includes a broad range of activities spanning physical, social and life sciences, engineering, and medicine. These positions will provide an opportunity to form collaborative relationships within the college, across the university, and with regional industry.

The university boasts a student body of over 46,000 enrolled in over 370 programs of study and is the region’s largest employer with over 15,000 faculty, staff and student workers. The University of Cincinnati is ranked as one of America’s top 26 public research universities by the National Science Foundation. U.S. News has ranked UC in the Top Tier of America’s Best Colleges.  In addition, Cooperative Education (co-op) had its founding at UC in 1906.

The University of Cincinnati is an affirmative action/equal opportunity employer. Women, people of color, persons with disabilities, and military veterans are encouraged to apply. UC is an ADVANCE institution, with an NSF Institutional Transformation award to increase the participation and advancement of women in STEM academic careers, and provide support throughout all phases of their career development. The University is committed to increasing the diversity of the UC community. Candidates who can contribute to that goal are encouraged to apply and to identify their strengths or experiences in this regard.

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