Assistant Professor

This is a joint position with SDSS with primary appointment in STOR.

The University of North Carolina at Chapel Hill is a vibrant center of scientific discovery and innovation, with a commitment to collaboration. Our centers of excellence span diverse areas of Data Science, Statistics and Mathematical Sciences. The quality of life in North Carolina's Research Triangle area is widely considered among the highest in the nation. Chapel Hill has diverse social, cultural, recreation and professional opportunities that span the campus and community. The STOR Department supports the University's core values encouraging educational and employment opportunities throughout the University community, as articulated in the University's non-discrimination policy. We welcome candidates who align well with our department values.

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 childcare 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.

The University of North Carolina-Chapel Hill ( UNC Chapel Hill) aims to contribute to the burgeoning field of data-oriented modeling and analysis, to solve pressing problems in healthcare, business, transportation, engineering, and other domains, and to study the implications of the usage of data science tools on society at large. The School of Data Science and Society ( SDSS) will also be developing a core curriculum for training the next generation of data scientists at the undergraduate and graduate levels. Given the highly interdisciplinary nature of this field, the SDSS and the College of Arts and Sciences ( CAS) of UNC Chapel Hill are planning a cluster hire to attract outstanding tenure-track faculty whose research and teaching interests lie at the intersection of data science and Mathematics ( MATH), Statistics & Operations Research ( STOR), or Computer Science (CS). The STOR/ SDSS joint hire will have their tenure homes in STOR with a half-time appointment in SDSS. The successful candidate will contribute to the teaching and research mission of both units. New hires will help build undergraduate and graduate programs with a strong quantitative core and many interdisciplinary options. The STOR department is organized around four areas: theoretical and applied statistics, probability, stochastic modeling, and optimization. Faculty in the department conduct fundamental research in these areas and collaborate with other parts of UNC, including health care, medicine, public health, and environmental sciences. The ideal candidate for this position would be someone with primary expertise in one of the STOR department's core areas at the intersection with data science, including machine learning and modern artificial intelligence, and the potential for developing significant collaborations with the SDSS. Consistent with current SDSS themes, candidates with some background in machine learning/artificial intelligence or healthcare applications are particularly urged to apply. While the position will be joint, the tenure home will be STOR.

The STOR department is organized around four areas: theoretical and applied statistics; probability; stochastic modeling; and optimization. Faculty in the department conduct fundamental research in these areas and have many collaborations with other parts of UNC including health care, medicine, public health and environmental sciences. While the position itself will be joint, the tenure home will be STOR. 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 STOR department and SDSS.

Candidates must possess a PhD in Statistics, Operations Research, or some closely related field by the start date of the appointment.

The ideal candidate for this position would be someone with primary expertise in one of the STOR department's core areas, at the intersection with data science including machine learning, and potential for developing significant collaborations with the School of Data Science and Society SDSS.

The application package should include a cover letter, an up-to-date curriculum vitae, a writing sample, research statement and a teaching statement. Applicants should also arrange for four letters of recommendation. One of the letters should address teaching abilities. Application materials and letters of recommendation must be submitted in electronic form only. Click on http://unc.peopleadmin.com/postings/289373 to apply for this position.

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 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.