Job location: Charlottesville, VA Employment Type:
Full-time Posted data:
The Department of Statistics at the University of Virginia (UVA), College and Graduate School of Arts & Sciences, invites applicants for the newly established Elcan Jefferson Scholars Foundation Distinguished Professorship (the position is tenured; the distinguished professorship is a five year renewable term). Candidates’ records are expected to be commensurate with this honor. 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 research.virginia.edu/Grand-challenges. The Department has a concurrent search for a tenure-track Assistant Professor, and both appointments begin in Fall 2022.
Candidates must have a Ph.D. in Statistics, Biostatistics, or a related field, and an outstanding record of research, teaching, funding and creating and leading initiatives. The ideal candidate should demonstrate success in these areas: create and lead research initiatives, engage in opportunities for external funding to support research endeavors, teach at the graduate and undergraduate levels, advise Ph.D. students, and provide service to the department, university, professional organizations, and the Jefferson Scholars Foundation by serving on Foundation selection committees, attending Foundation events, and helping the Foundation recruit Scholars and Fellows. We seek candidates dedicated to our mission and passionate about teaching and research in a world-class institution.
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; we offer Bachelor of Arts, Bachelor of Science, Master of Science, Ph.D. degrees in Statistics.
Review of applications will begin December 13, 2021; candidates who apply by then will be given priority consideration, but the position will remain open until filled. To apply, visit http://jobs.virginia.edu and complete an application online. 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 about the position, contact K. Kafadar, Search Chair, at email@example.com.
For questions about 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.
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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.