Assistant, Associate, Full Professor of Computer Science
Date: Jun 14, 2021
Cincinnati, OH, US
University of Cincinnati
Current UC employees must apply internally via SuccessFactors >
You are invited to submit an application to be considered for multiple positions.
Founded in 1819, the University of Cincinnati embarks upon its third century - building on the past and defining the future by leading urban, public universities into a new era of innovation and impact through its strategic direction, . Underscoring the power of creativity, ingenuity, invention and inclusion, what's Next will accelerate our unrivaled momentum, evidenced by eight straight years of record enrollment and rankings that include placement among America's top 100 public universities by U.S. News & World Report. Home to a diverse student body of nearly 47,000 and more than 4,200 distinguished faculty, the university combines its Research 1 (Very High Research Activity) Carnegie Classification with a physical setting that The New York Times recently acclaimed as "the most ambitious campus design program in the country.
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.
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.
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).
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, as a multi-national and culturally diverse university, is committed to providing an inclusive, equitable and diverse place of learning and employment. As part of a complete job application you will be asked to include a Contribution to Diversity and Inclusion statement.
As a UC employee, and an employee of an Ohio public institution, if hired you will not contribute to the federal Social Security system, other than contributions to Medicare. Instead, UC employees have the option to contribute to a state retirement plan (OPERS, STRS) or an alternative retirement plan (ARP).
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Nearest Major Market: Cincinnati
Computer Science, Engineer, Developer, Electrical, Curriculum, Technology, Engineering, Education
The University of Cincinnati is an Affirmative Action / Equal Opportunity Employer / Minority / Female / Disability / Veteran.