Distinguished Professor

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We seek scholars with expertise in medical image computing. Their doctorate can be in computer science, engineering, data science, medical physics, or a closely related field involving medical image computing. Candidates are expected to be at the level of Full Professor or show equivalent evidence of international research distinction. They must have a strong track record in published research, obtaining external research funding, student teaching, and student mentoring, and a commitment to collaboration.

Our department's guiding research principle is collaboration, as it has been since the department's founding in 1964. We believe that computer science's greatest impact lies in working with other scientists to solve problems in their respective disciplines. As such, we actively seek opportunities to initiate new research with colleagues across campus, including in the sciences, medicine, and the humanities. The Department of Computer Science is one of 16 science departments and curricula in the College of Arts and Sciences. It is a major research department with 40 tenured/tenure-track faculty, 9 teaching-track faculty, 12 research faculty, and 17 adjunct faculty, serving more than a thousand undergraduate students and hundreds of graduate students and postdoctoral fellows. Nearly 200 graduate students and eight non-faculty members assist with teaching and research activities. Additionally, 24 positions, including technical and administrative personnel, support the department's infrastructure. Many computer science faculty members hold adjunct or joint appointments in other departments, lead large interdisciplinary research groups, and collaborate with colleagues from other universities across the Research Triangle, the United States, and around the world.

This position is intended for scholars with expertise in medical image computing. Candidates should hold a doctorate in computer science, engineering, data science, medical physics, or a closely related field with a focus on medical image computing. Candidates are expected to be at the level of Full Professor or show equivalent evidence of international research distinction. They must have a strong track record in published research, obtaining external research funding, student teaching, and student mentoring, and a commitment to collaboration.

Candidates must be established leaders in their research area, and have a doctorate in computer science, engineering, data science, medical physics, or a closely related field involving medical image computing. Candidates must have a strong track record in research publications, obtaining external research funding, student teaching, and student mentoring, and a commitment to collaboration. Their research must have an international reputation for consistent strength, at the level normally associated with full professorship.

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Screening of applications will begin upon receipt of letters of recommendation and associated documents on a rolling basis. Applicants are encouraged to apply by December 1, 2025 to be included in the initial review cycle; applications submitted afterward will continue to receive full consideration while the position remains open. Applicants must apply online at https://unc.peopleadmin.com/postings/307593. Application materials should include: Cover Letter; Curriculum Vitae/Resume; Research Statement; Teaching Philosophy/ evaluations; List of Four References. For more information about the Department of Computer Science, please visit https://cs.unc.edu

If you experience any problems accessing the system or have questions about the application process, please contact the University's Executive Vice Chancellor and Provost office at (919)-962-1091 or send an email to facultyrecruitment@unc.edu.

Please note: The Executive Vice Chancellor & Provost office will not be able to provide specific updates regarding position or application status.

If you have any questions about the job requirements or the hiring department notify the Department Contact.

The University is an equal opportunity employer and welcomes all to apply without regard to age, color, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, or sexual orientation. We encourage all qualified applicants to apply, including protected veterans and individuals with disabilities.