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University of North Carolina at Chapel Hill

Distinguished Professor

University of North Carolina at Chapel Hill, Raleigh, North Carolina, United States

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University of North Carolina at Chapel Hill Be among the first 25 applicants. This position is for 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. 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. Posting Information

Department

Computer Science - 318400 Posting Open Date

10/08/2025 Application Deadline

12/31/2025 Open Until Filled

No Position Type

Permanent Faculty Working Title

Distinguished Professor Appointment Type

Tenured/Tenure Track Vacancy ID

FAC0005687 Full-time/Part-time

Full-Time Permanent Hours per week

40 FTE

1 Position Location

North Carolina, US Qualifications Hiring Range

Dependent on Experience and/or Qualifications Proposed Start Date

07/01/2026 Position Information

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. 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 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. Preferred Qualifications, Competencies, And Experience

N/A Special Instructions

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 Quick Link https://unc.peopleadmin.com/postings/307593 Department Contact Information Department Contact Name and Title Stephen Pizer; Kenan Distinguished Professor Department Contact Telephone or Email pizer@cs.unc.edu Academic Personnel Office Contact Information 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. Equal Opportunity Employer Statement 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. We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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