Open Rank, Quantitative Analysis

The Darden School of Business at the University of Virginia invites applications for a tenure-track or tenured faculty position in Quantitative Analysis, beginning in the fall of 2020. Applicants must have a PhD in Decision Sciences, Data Science, Management Science, Operations Research, Statistics, Computer Science, or related areas by the date of appointment.  Applicants must have the ability to be a successful teacher, researcher and colleague at the Darden School.

Applicants for assistant professor positions must show initial evidence of excellence in research, including top-tier publications and a growing pipeline, and evidence of success as a teacher. Applicants for more senior appointments must have an outstanding record of sustained research productivity, evidence of scholarly and managerial impact, and a record of success as a teacher, ideally both in the MBA and executive programs. All applicants are expected to be involved in research and teaching-related activities that relate to the practice of management and to be interested in establishing or continuing interactions with practicing managers as well as academicians.

The Quantitative Analysis (QA) area at Darden specializes in influential academic and practitioner-oriented research, and teaching excellence.  There is broad latitude with respect to specific area of research interest.  The area offers a variety of required and elective courses to residential and executive MBA students, including a concentration in Data Analytics.  Topics currently taught include decision analysis, data analysis, optimization, data science in business, behavioral decision making, games and auctions and project management.  The area also helps staff a Master of Science in Business Analytics program.  QA faculty also teach actively in Darden’s non-degree Executive Education programs.

The Darden School of Business is a top-rated global business school. The University of Virginia is regarded as one of the nation's finest public universities. Charlottesville is consistently ranked among the best places to live in the United States.

To Apply:

PROCESS FOR INTERNAL UVA APPLICANTS: Please apply through your Workday Home page, search “Find Jobs”, and search for “Open Rank, Quantitative Analysis."   Complete an application online and see below for documents to attach. Please note that multiple documents can be uploaded in the CV/Resume box.

PROCESS FOR EXTERNAL APPLICANTS: Please visit UVA job board https://uva.wd1.myworkdayjobs.com/UVAJobs, search for "Open Rank, Quantitative Analysis." Complete the application and see below for documents to attach.  Please note that multiple documents can be uploaded in the CV/Resume box.

Required Application Materials:

• CV
• Cover Letter
• Contact information for 3 references

Please note multiple documents can be submitted in the CV/Resume Box. Applications that do not contain all of the required documents will not receive full consideration.

This position will remain open until filled. For questions about the application process, please contact Bethany Case, Academic Recruiter, at bcase@virginia.edu.

The selected candidate will be required to complete a background check at time of offer per University Policy.

The University of Virginia assists UVA faculty spouses and partners seeking employment in the Charlottesville area. To learn more about these services, please see http://provost.virginia.edu/dual-career.

The Darden School of Business is committed to fostering a diverse educational environment and encourages applications from members of groups under-represented in academia.

The University of Virginia, including the UVA Health System and the University Physician’s Group are fundamentally committed to the diversity of our faculty and staff.  We believe diversity is excellence expressing itself through every person's perspectives and lived experiences.  We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.