The Department of Statistics at the University of Virginia (UVA), College and Graduate School of Arts & Sciences, invites applicants for a tenure-track Assistant Professor. All research areas in Statistics are considered. The Department is experiencing increased student demand in statistics research, particularly as motivated by its faculty’s diverse interdisciplinary collaborations, so we welcome those whose research and teaching span statistical methodology and computing across numerous disciplines. In addition, the University hosts several Grand Challenges; see https://research.virginia.edu/Grand-challenges. The Department has a concurrent search for a tenured Endowed Professor, and both appointments begin in Fall 2022.
Candidates must have a Ph.D. in Statistics, Biostatistics, or a related field. The ideal candidate should show a strong desire to contribute to the Department’s mission to offer creative and novel research, engage in external funding opportunities, teach at the graduate and undergraduate levels, advise Ph.D. students, and provide service to the department, university and professional organizations.
The Department of Statistics at UVA was established in 1989 and currently has 16 research and teaching faculty. Since 2014, the College of Liberal Arts & Sciences has made significant investments in the department, leading to a three-fold growth in faculty, a five-fold increase in undergraduate majors, and several new statistics courses, degree programs, and initiatives. Faculty and students work closely with biostatisticians in the adjacent School of Medicine, as well as with UVA’s Quantitative Collaborative (Social Sciences), School of Data Science, and other departments and schools; interests range from theoretical to applied statistics (including statistics in the physical, medical, and social sciences), with a strong emphasis on interdisciplinary collaborations. All faculty supervise a growing number of students at all levels, including Bachelor of Arts, Bachelor of Science, Master of Science, Ph.D. degrees in Statistics.
Review of applications will begin December 10, 2021; candidates who apply by then will be given priority consideration, but the position will remain open until filled. Apply online at https://uva.wd1.myworkdayjobs.com/UVAJobs and attach, as a single pdf: Cover letter that includes past experience working on issues of diversity, equity and inclusion and/or working with diverse populations and/or cultivating a diverse, equitable, and inclusive culture; CV; Research agenda, including potential collaborations at UVA; Teaching philosophy and experience; Contact information for at least 3 references.
For questions regarding the position contact, Xiwei Tang, Search Chair, email@example.com.
For questions regarding the application process contact, Rich Haverstrom, Faculty Search Adviser, firstname.lastname@example.org.
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 Research Triangle Park, making 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.
COVID Vaccination Requirement and Guidelines
Please visit the UVA COVID-19 Job Requirements and Guidelines webpage prior to applying for current information regarding vaccination requirements and guidelines for employment at UVA.
The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, 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 or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.