Post-Doc Research Associate

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 and is among is the top ten research universities in the nation for federal research expenditures as well as for federally funded social and behavioral sciences research and development.

Here at Carolina, our highly skilled postdocs play a vital role in our research enterprise and towards our overall commitment to research excellence. Across many disciplines, postdocs contribute to the intellectual vitality of the University. They provide innovative ideas and perspectives, foster a stimulating research environment and advance knowledge within their fields. Postdocs are crucial members of our scientific research workforce, contributors to our research outputs and an important reason why Carolina is one of the leading public research institutions in the country.

UNC-Chapel Hill offers postdocs comprehensive medical and vision coverage, paid leave, and benefits and services that support professional development and a healthy work/life balance. Chapel Hill regularly ranks as one of the best college towns and best places to live in the United States, a reputation guided by the diverse social, cultural, recreation and professional opportunities that span the campus and community.

The Department of Computer Science is one of 16 science departments and curricula in the College of Arts and Sciences. It is a major teaching department with more than 30 tenured/tenure track faculty, nine research faculty, and 28 adjunct faculty, who serve more than a thousand undergraduate students and hundreds of graduate students and postdoctoral fellows. Our driving research ideal is collaboration-as it has been since the founding of our department in 1964. We believe that computer science's greatest purpose is in working with other scientists to solve problems in their own disciplines. Therefore, we actively seek opportunities to generate new research with our colleagues and with scientists in other departments across campus, including in science, medicine, and the humanities. Numerous computer science faculty members have adjunct or joint appointments in other departments, lead large interdisciplinary research groups, and collaborate with colleagues from multiple universities across the Research Triangle, the United States, and even the world.

This Postdoctoral Research Associate will conduct advanced research in artificial intelligence, machine learning, computer vision, and medical image analysis. The position will contribute to the development and validation of computational methods that integrate images with other multimodal data. The postdoctoral research associate will design, implement, and evaluate algorithms and models. Responsibilities will include processing and curating large clinical datasets; developing reproducible computational pipelines; conducting internal and external validation studies; evaluating model discrimination, calibration, and robustness; and working with collaborators to interpret study findings. The successful candidate will be expected to lead or make substantial contributions to peer-reviewed publications, conference presentations, and research reports; assist with preparation of grant proposals and regulatory or data-governance materials; document and share research software; and participate actively in interdisciplinary research meetings. Depending on experience and interests, the individual may also mentor graduate and undergraduate researchers and contribute to collaborative projects involving computer science, biomedical engineering, radiology, cardiology, and population health. This position is intended to provide advanced research training and professional development toward an independent career in academic research, industry, or translational biomedical AI.

A PhD or equivalent doctoral degree in Computer Science, Biomedical Engineering, Electrical or Computer Engineering, Data Science, Applied Mathematics, or a closely related discipline. The doctoral degree must be completed before the proposed start date.

Demonstrated research experience in machine learning, deep learning, medical image analysis, computer vision, biomedical data science, or a closely related area. Strong programming skills in Python and experience with a modern deep-learning framework such as PyTorch or TensorFlow. Experience developing, training, and evaluating machine-learning models using complex biomedical, imaging, or other high-dimensional datasets. Knowledge of experimental design, statistical analysis, model validation, and reproducible computational research practices. Evidence of scholarly productivity through peer-reviewed publications, conference papers, preprints, or comparable research outputs. Ability to work both independently and collaboratively within a multidisciplinary research team. Strong written and oral communication skills. Ability to organize research activities, document methods and results, meet project milestones, and contribute to manuscripts and scientific presentations.

A strong publication record in relevant journals or conferences. Prior experience collaborating with collaborators, mentoring junior researchers, or contributing to grant applications.

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For information on UNC Postdoctoral Benefits and Services click here

If you experience any problems accessing the system or have questions about the application process, please contact the University's Office of Postdoctoral Affairs at (919) 962-9982 or send an email to opahr@unc.edu.

Please note: The Office of Postdoctoral Affairs will not be able to provide specific updates regarding position or application status.

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.