Teaching Assistant Professor

Department Statistics and Operations Res – 319200 Posting Open Date 10/04/2024 Application Deadline Open Until Filled Yes Position Type Permanent Faculty Working Title Teaching Assistant Professor Appointment Type Fixed Term Faculty Vacancy ID FAC0005275 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 07/01/2025 Be a Tar Heel!

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.

Primary Purpose of Organizational Unit

The primary mission of the Department of Statistics and Operations Research (STOR) in the College of Arts and Sciences is teaching, research and service. The STOR Department specializes in inference, decision-making, and data analysis involving complex models and systems exhibiting both deterministic and random behavior and focuses on developing and analyzing the necessary quantitative and computational tools to enable practitioners to solve problems in statistical and probabilistic analysis, modeling, optimization, and the evaluation of system performance. The faculty engage in fundamental research in probability, statistics, stochastic processes, and optimization, and are also heavily involved with interdisciplinary areas of application such as genomics, biological modeling, environmental statistics, insurance, and financial mathematics, revenue, workforce, and supply-chain management, traffic flow and congestion, and telecommunications. The department’s research work is at the core of Data Science, Machine Learning/AI, Analytics, Network Science and related fields. The Graduate Programs in STOR provide challenging and comprehensive training across the full spectrum of statistics and operations research, including theoretical foundations, cutting-edge applications, and state-of-the-art computation. Graduates work in many diverse areas of industry and government, as well as serving on university faculties throughout the United States and abroad. The Undergraduate Program in Statistics and Analytics is ideal for students who like to tackle challenging quantitative problems in a business or scientific environment. STAN graduates go on to attend some of the most competitive graduate programs in statistics, biostatistics, operations research, finance and related disciplines, as well as serving in top corporations in a wide variety of fields. The department has 24 tenure track professors, 5 teaching professors and several jointly appointed faculty members. This department annually serves approximately 80 graduate students and 2,100 undergraduate majors and minors. We also serve over 2,500 undergraduate and graduate students in other fields. The department runs the UNC Statistical / Data Science Consulting Center, which serves clients across campus and elsewhere. Under the supervision of faculty members, graduate students work with the clients to address their statistical & data science questions. Separately, STOR graduate students run the Data Outreach Program for Students (Data OPS) aimed at educating local K-12 students in data science topics. The STOR Department supports the University’s core values and educational and employment opportunities throughout the University community.

Position Summary

Individual with experience in, or strong potential for, teaching Statistics and Data Science at the undergraduate level, and for contributing to the academic program development and pedagogy of the Department. This is a non-tenure track position with an initial contract of three years that is subsequently considered for renewals, with the possibility of eventual promotions to higher ranks (Teaching Associate Professor, Teaching Professor) and longer-term contracts with an intended career trajectory. The primary purpose of this position is to provide instruction for large-enrollment introductory service courses, utilizing appropriate technology enhancements and pedagogy techniques. The successful candidate will teach six undergraduate courses over a two-semester academic year. The position will also be required to provide advising and mentoring for undergraduate students majoring in Statistics and Analytics. Additionally, the position must maintain active involvement and engage in teamwork within the department by serving on departmental committees, supporting departmental initiatives and other departmental projects as they arise. Supplemental summer teaching assignments are generally available for those interested, for additional compensation.

Minimum Education and Experience Requirements

A doctorate in Statistics, Mathematics, Operations Research or a related field by the start date of the appointment.

Preferred Qualifications, Competencies, and Experience

Must be comfortable with large-enrollment introductory service courses, utilizing appropriate technology enhancements and pedagogy techniques and advising and mentoring undergraduate students majoring in Statistics and Analytics.

Special Physical/Mental Requirements Campus Security Authority Responsibilities

Not Applicable.

Special Instructions

The application package should include a cover letter, an up-to-date curriculum vitae, and a teaching statement. Applicants should also arrange for three letters of recommendation. Application materials and letters of recommendation must be submitted in electronic form only. Click on http://unc.peopleadmin.com/postings/289002 to apply for this position.

Quick Link https://unc.peopleadmin.com/postings/289002 Department Contact Name and Title Jeff McLean, Teaching Associate Professor, Director Department Contact Telephone or Email [email protected] 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 [email protected].

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 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.

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