Employment Type: Permanent Faculty

Vacancy ID: FAC0004830

Position Summary/Description:

The Department of Computer Science and the School of Data Science and Society ( SDSS ) invite applications at the rank of tenure track Assistant Professor with a starting date of July 01, 2024. We are seeking candidates who embrace excellence in research and teaching, and have a commitment to diversity, mentoring and collaboration. The CS Department is strong in areas such as machine learning, natural language processing, computer vision, graphics, augmented and virtual reality, medical imaging, robotics, visualization, robotics, real-time systems, embedded and cyber-physical systems, formal verification, mobile computing, security and computer systems, and bioinformatics. We are specifically seeking candidates from all of these areas, who have a strong connection to data-driven methods in their research and teaching and can build bridges between these areas and data science. S/he will hold a 50-50 joint appointment at CS and at SDSS , with equally split teaching load, will be able to attract and advise graduate students from both units, and will also be conferred tenure from both units. The successful candidate will be expected to direct an independent research program supported by extramural funding, to participate in data science activities and to teach at the undergraduate and graduate levels through the CS department and SDSS .

Education and Experience:

The ideal candidate for this position would be someone with primary expertise in one of the CS department’s core areas, at the intersection with data science including machine learning, and potential for developing significant collaborations. Consistent with current SDSS themes, candidates with some background in Artificial Intelligence and Health are particularly encouraged to apply.

AA/EEO Statement:

The University of North Carolina at Chapel Hill is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or status as a protected veteran.