MINIMUM REQUIREMENTS

Prior to the effective date of appointment, a PhD in Computer Science, Computer Engineering, or closely related field.

YOU ARE INVITED TO SUBMIT AN APPLICATION TO BE INCLUDED IN THE GENERAL POOL OF CANDIDATES FROM WHICH QUALIFIED FACULTY ROLES WILL BE FILLED. THE NUMBER OF POSITIONS VARIES DEPENDING ON THE NEEDS OF THE DEPARTMENT AND THERE IS NO GUARANTEE THAT AN OPEN POSITION CURRENTLY EXISTS. APPOINTMENTS ARE RENEWED BASED ON DEPARTMENTAL NEED AND TEACHING PERFORMANCE. CLASSES MAY BE DAY OR EVENING. RANK AND COMPENSATION ARE BASED ON EXPERIENCE AND ACADEMIC CREDENTIALS.

Founded in 1819, the University of Cincinnati ranks among the nation’s best urban public research universities. Home to 53,235 students, nearly 12,000 faculty and staff and 350,000+ living alumni, UC combines a Top 35 public research university with a physical setting The New York Times has called “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, the oldest and one of the largest cooperative education programs, a dynamic academic health center and entry into the Big 12 Conference, UC’s momentum has never been stronger. UC’s annual budget stands at $1.85 billion, and its endowment totals $2 billion.
UC is a mission-driven organization where we are committed to student success and positively transforming the community through scholarship and service. We thrive on innovation, making an impact, and fostering an environment where staff and faculty are key contributors to UC’s success.

ESSENTIAL FUNCTIONS

• 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 serving on departmental and/or college committees.
• Developing an externally funded research program and conducting research in Artificial Intelligence (AI) and/or Deep Learning, specifically, in applications with bioinformatics and/or computational biology. Also publishing research results in professional journals and refereed conference proceedings.
• Contributing (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.
• Furthering 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.
• Working 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.
• Advising graduate and undergraduate students.
• Participating in curriculum and course development and evaluation for department and/or college.