Assistant​/Associate Professor of Computer Science

Position: Assistant/Associate Professor of Computer Science (45518)
The School of Natural Sciences and Mathematics (SNSM) invites applications for the position of Assistant/Associate Professor of Computer Science-Tenure-track. Candidates must have working experience in Artificial Intelligence, including AI theory, machine learning, computer vision, natural language processing, and search;
Data Science; and Cybersecurity and privacy. He/she must be able to build research partnerships with existing faculty who have strengths in algorithms, computational geometry, computer science education, embedded systems and UAVs, games, human-robot interactions, programming languages, security, privacy, and software engineering. Specific responsibilities include daily instruction of courses in the Computer Science program curricula as assigned each semester in accordance with the course syllabi, administration of exams, monitoring of student attendance, submission of final grades and other duties associated with course instruction.

In addition to instructional responsibilities, this position requires ongoing compliance with the criteria for faculty performance in research and grantsmanship, faculty development, service to the University and community, committee participation and other duties as assigned. The Department of Mathematics and Computer Science, invites applications for the position of Assistant/Associate Professor of Computer Science with a vision to enhance its program and who are able to collaborate in a multidisciplinary, diverse and inclusive setting spanning efforts throughout the department and research clusters.

The successful candidate will be an educator who approaches both teaching and research with enthusiasm, is motivated to work with students and strives to develop students as scholars, is prepared to work with the Chair and colleagues in the SNSM, and is motivated to work with students.

This position requires a Ph.D. in Computer Science. Candidates must have superior academic experience, an established record of teaching, research, grantsmanship, and service.

Salary:
Commensurate with experience

Closing Date:
Review of applications will begin immediately