Open Rank Faculty -Assistant/Associate/Professor
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Job no: 527112
Work type: Teaching & Research Faculty
Senior management: College of Science
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, data analytics and statistical methodologies, invites applications for multiple open rank tenured or tenure track faculty positions 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 2024.
Requirements include a Ph.D. in Statistics, Machine Learning, Biostatistics, Informatics or a closely related field. 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.
We are looking for creative statistical researchers who are 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)
Applicants must have a strong background in statistics, analytics or data science with promise for developing, or in the case of senior applicants continuing, a funded research program; 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
A completed application will include :
- Cover letter
- A list of three professional referees with their preferred contact information
- A research statement
- A teaching statement
- A diversity statement
Commensurate with Experience
The successful candidate will be required to have a criminal conviction check.
The position may require occasional travel to meetings and conferences.
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 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, 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 Robert Gramacy at email@example.com during regular business hours at least 10 business days prior to the event.
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