Assistant Professor
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Job no: 530501
Work type: Teaching & Research Faculty
Senior management: College of Science
Department: Statistics
Location: Blacksburg, Virginia
Categories: Instructional / Teaching Faculty, Research / Scientific
The Virginia Tech Department of Statistics (www.stat.vt.edu), in order to support initiatives in data science and statistics, invites applications for one tenure-track faculty to begin in Fall 2025. The tenure-track faculty will be expected to demonstrate strong research abilities as well as excellent teaching. We are looking for exceptional candidates in statistics and data science, where innovative methodologies and principled applications are crucial.
At the time of appointment, applicants must have earned a doctorate in statistics or in a relevant discipline. The position is a 9-month tenure or tenure-track appointment with the opportunity to conduct additional extramurally funded research in the summer. Salary is commensurate with qualifications and experience.
Applications must be submitted online at http://jobs.vt.edu (#530501) and should include a cover letter, curriculum vitae, teaching statement, research plan, inclusion statement and contact information for at least three references. Review of applications will begin on October 21, 2024. As part of the hiring process, the successful applicant must pass a criminal background check. Questions regarding the position can be directed to Professor Xinwei Deng (xdeng@vt.edu) chair of this faculty search committee.
Required Qualifications
Applicants must have a strong background in statistics, analytics or data science with promise for developing, demonstrated experience with and commitment to interdisciplinary research; willingness to cross disciplinary boundaries to tackle complex scientific challenges; a desire to advise and teach a student body which is diverse with respect to socio-economic status, interests, and abilities; and commitment/sensitivity to address issues of diversity in the university community.
Applicants must have earned a doctorate in a relevant discipline at the time of appointment.
Experience in developing and deploying programs to attract members of underserved populations into statistics
Commensurate with experience
The successful candidate will be required to have a criminal conviction check.
Some travel to meetings and conferences may be required.
A completed application includes the following:
- CV
- Cover letter
- A list of three professional references with their preferred contact information
- A teaching statement
- A research statement
- A personal diversity and inclusivity statement
About Virginia Tech
Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers. A leading global research institution, Virginia Tech conducts more than $500 million in research annually.
Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.
Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.
If you are an individual with a disability and desire an accommodation, please contact Michele Loy at shelly23@vt.edu during regular business hours at least 10 business days prior to the event.
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