Faculty Searches Fall 2020 - Associate or Full Professor

The Department of Statistics at the University of Virginia (UVa), College and Graduate School of Arts &
Sciences, invites applicants for a tenured Associate or Full Professor faculty position. All research areas
in Statistics are considered. The Department is experiencing increased student demand in both statistics
and computing, so we welcome those whose research and teaching span statistical methodology, largescale
inference, and computational sciences. The appointment begins with Fall term 2020. In addition to
developing external funding to support research endeavors, candidates will be expected to teach at the
graduate and undergraduate levels, advise Ph.D. students, and provide service to the university,
department and professional organizations.

The Department of Statistics at UVa was established in 1989 and currently has 17 research and teaching
faculty. The Department works closely with other departments, including Biostatistics at the Medical
School and the Quantitative Collaborative (Social Sciences), as well as with other Schools and the newly
created School of Data Science. Faculty interests range from theoretical to applied statistics (including
statistics in the social, medical, and physical sciences), and we supervise a growing number of students at
all levels. The department offers the Bachelor of Arts, Master of Science, and Ph.D. degrees in Statistics.

Qualifications:
Applicants must have a Ph.D. in Statistics, Biostatistics, Computer Science, or a related field, and an
outstanding record of research, teaching, and funding.

Application Process:
Please apply online at https://uva.wd1.myworkdayjobs.com/en-US/UVAJobs/job/Charlottesville-
VA/Associate-or-Professor-of-Statistics_R0010730 and attach a cover letter, CV, Statement describing
research agenda, Statement of teaching philosophy and experience, and Contact Information for at least 3
references. The cover letter should include areas of research/scholarship interest; potential
collaborations/projects at UVA; and demonstrated past experience working on issues of diversity, equity
and inclusion and/or working with diverse populations.

Application Deadline:
Review of applications will begin December 2, 2019; candidates who apply by then will be given priority
consideration, but the position will remain open until filled.

For questions regarding the application process please contact, Rich Haverstrom, Faculty Search Adviser, at rkh6j@virginia.edu.

For questions regarding the position in the Statistics department, please contact Tingting Zhang, Search Committee Chair, at tz3b@virginia.edu.

Centrally located in Virginia, Charlottesville boasts a thriving intellectual community and cultural life, with easy access to recreational venues and convenient travel to Richmond, Washington D.C. and SAMSI, which combine to make UVa a most desirable place to live and work. For more information about UVA and the area, please visit http://uvacharge.virginia.edu/guide.html.
For information on the benefits available to members of the academic faculty at UVA, visit hr.virginia.edu/benefits.

UVA assists faculty spouses and partners seeking employment in the Charlottesville area. To learn more please visit https://dualcareer.virginia.edu/ For more information about UVA and the Charlottesville
community please see http://www.virginia.edu/life/charlottesville and https://embarkcva.com/.

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.