Job Description

The Virginia Tech Department of Statistics (www.stat.vt.edu), in order to support initiatives in data science, data analytics and statistical methodologies, invites applications for a tenure track faculty position with focus on environmental and ecological statistics, machine learning, statistical engineering, experimental design, high performance computing, computational statistics, health and applied analytics, uncertainty quantification, or related areas, to begin in Fall 2025. Requirements include a Ph.D. in Statistics, Machine Learning, Biostatistics, Informatics or a closely related field. The position is a 9-month tenure-track appointment with the opportunity to conduct additional extramurally funded research in the summer. Salary is commensurate with qualifications and experience.

We are looking for a creative statistical researcher who is excited to
• develop cross-disciplinary collaborations to motivate new statistical advances;
• bring new developments in statistics and related fields into the classroom and into
their advising of students;
• develop a steady, funded research program (commensurate with rank);
• teach a diverse population of undergraduate and graduate students about how
statistics plays an integral role in scientific discovery.
• excited to support their fellow researchers, teachers, collaborators and staff in the
department and contribute to an environment where all can find their paths for
contribution and success.

More details regarding university-level expectations can be found in Virginia Tech’s faculty handbook (available at www.provost.vt.edu)


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.

Preferred Qualifications

Experience in developing and deploying programs to attract members of underserved populations into statistics