General Faculty – Quantitative AnalysisDarden School of Business at the University of Virginia
The Darden School of Business at the University of Virginia invites applications for a General (non-tenure track) faculty position in Quantitative Analysis, beginning in the fall of 2020. Applicants should generally have a PhD in Decision Sciences, Data Science, Management Science, Operations Research, Statistics, Computer Science, or related areas by the date of appointment.
General faculty applicants are expected to bring something distinctive to the School, such as outstanding teaching, high visibility and effectiveness in working with practicing managers and executives, or a particularly noteworthy research niche. Most commonly, general faculty will be on either a Teaching Track or a Practice Track. For the Teaching Track, primary responsibilities would be teaching and developing curricular materials. For the Practice Track, primary responsibilities would be teaching in both MBA and Executive Education programs and writing with a view to influencing practice. General faculty applicants typically bring a distinctive competency to the School without necessarily being expected to engage in the breadth of contribution of a tenured or tenure-track faculty.
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.
PROCESS FOR INTERNAL UVA APPLICANTS: Please apply through your Workday Home page, search "Find Jobs", and search for "General Faculty, 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 "General Faculty, General Faculty, 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.
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 email@example.com.
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 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 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.
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