Distinguished Professor

Department: Computer Science - 318400

Posting Open Date: 10/08/2025

Final date to receive applications: 01/09/2026

Open Until Filled: No

Position Type: Permanent Faculty

Working Title: Distinguished Professor

Appointment Type: Tenured/Tenure Track

Vacancy : FAC
0005687

Full-time/Part-time: Full-Time Permanent

Hours per week: 40

FTE: 1

Position Location: North Carolina, US

Hiring Range: Dependent on Experience and/or Qualifications

Proposed

Start Date:

07/01/2026

Be a Tar Heel!

A global higher education leader in innovative teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation’s top public universities. Known for its beautiful campus, world-class medical care, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn. One of the best college towns and best places to live in the United States, Chapel Hill has diverse social, cultural, recreation and professional opportunities that span the campus and community.

University employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select campus events. UNC-Chapel Hill offers full-time employees a comprehensive benefits package, paid leave, and a variety of health, life and retirement plans and additional programs that support a healthy work/life balance.

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.

Primary Purpose of Organizational Unit:

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.

Position Summary:

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.

Minimum

Education and Experience Requirements:

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…