Assistant Professor, Computer Science

Current UC employees must apply internally via SuccessFactors > http://bit.ly/UCEMPL

Founded in 1819, the University of Cincinnati ranks among the nation’s best urban public research universities. Home to over 50,000 students, 11,000 faculty and staff and 332,000 alumni, UC combines a Top 35 public research university with a physical setting The New York Times calls “the most ambitious campus design program in the country.”

With the launch of Next Lives Here, the Cincinnati Innovation District, a $100 million JobsOhio investment, nine straight years of record enrollment, global leadership in cooperative education, a dynamic academic health center and entry into the Big 12 Conference, UC’s momentum has never been stronger. UC’s annual budget tops $1.65 billion and its endowment totals $1.8 billion.

The University of Cincinnati (UC) Department of Computer Science (CS) (https://ceas.uc.edu/academics/departments/computer-science.html ) in the College of Engineering and Applied Science (CEAS) invites applications for a tenure-track position at the Assistant Professor level in the area of Computer Science. We seek a candidate in the area of computer science specializing in Artificial Intelligence (AI). Areas of specialization may include 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; and/or Formal verification of AI and machine learning algorithms and their pipelines for security and trustworthiness.

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. This position will provide an opportunity to form collaborative relationships within the college, across the university, and with regional industry.

CS is dedicated to educational excellence and developing and sustaining premier research programs with national and international recognition. The chosen candidate 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 candidate will also be expected to contribute to the advancement of research missions within the department and college. In addition, the chosen candidate will be expected to further the strategic goals of the Department, the College, and the University via collegial collaboration and teamwork both within the CS 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.

• Teaching graduate and undergraduate courses related to Artificial Intelligence (AI) and/or Data Structures; specifically related to Data Science, Machine Learning and Deep Learning, 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 neuroimaging, computer vision, computational biology, and human-computer interfaces.
• Advising graduate and undergraduate students.
• Publishing research results in professional journals and refereed conference proceedings.
• Participating in curriculum and course development.

Prior to effective date of appointment, a Ph.D. in Computer Science or a closely related field.

Interested candidates should upload a current CV/Resume and cover letter summarizing research and teaching interests.

Under the ‘Additional Documents’ section, interested candidates should also upload:

• Statement of research plans.
• Statement of teaching philosophy and experience (if applicable).
• 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.

Compensation and Benefits

UC offers a wide array of complementary and affordable benefit options, to meet the financial, educational, health, and wellness needs of you and your family. Eligibility varies by position and FTE.

• Competitive salary range dependent on the candidate's experience.
• Comprehensive insurance plans including medical, dental, vision, and prescription coverage.
• Flexible spending accounts and an award-winning employee wellness program, plus an employee assistance program.
• Financial security via our life and long-term disability insurance, accident and illness insurance, and retirement savings plans.
• Generous paid time off work options including vacation, sick leave, annual holidays, and winter season days in addition to paid parental leave.
• Tuition remission is available for employees and their eligible dependents.
• Enjoy discounts for on and off-campus activities and services.

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).

To learn more about why UC is a great place to work, please visit our careers page at https://www.uc.edu/careers.html .

FOR ALL FACULTY HIRES OFFICIAL ACADEMIC TRANSCRIPTS WILL BE REQUIRED AT THE TIME OF HIRE

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.

For questions about the UC recruiting process or to request accommodations with the application, please contact Human Resources at [email protected] . 

The University of Cincinnati is an Equal Opportunity Employer.

REQ: 94967

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