Professor of Practice

Job Description

The Virginia Tech Academy of Integrated Science (www.ais.science.vt.edu) invites applications for a Professor of Practice faculty position in the Division of Computational Modeling and Data Analytics (CMDA) (www.ais.science.vt.edu/academics/cmda.html) to begin on August 10, 2021. Requirements for this 12-month position include: a master’s degree or doctorate in Computer Science, Mathematics, Statistics or a closely related field, and a demonstrated record of achievement in the practice of computational science or data analytics in business, government, nonprofit, and/or research settings.

The successful applicant will join the CMDA major’s Capstone Project team and support organizational engagement activities for CMDA. The Capstone Project course sets small teams of CMDA seniors to work on nontrivial, open-ended modeling problems that are proposed by clients from business, government, and academia. Expectations for this Professor of Practice include: effective engagement with outside partners to solicit Capstone projects and identify additional student opportunities, such as internships; thoughtful mentorship of students as they tackle diverse, open-ended projects and develop professional skills; help with management of the Capstone course and teaching assistants; cultivation of long term relationships with partners at Virginia Tech as well as in business, government, nonprofits, and outside academic institutions; and participation in service activities within the CMDA division. CMDA is an interdisciplinary program involving collaboration from several departments. The successful applicant will join the faculty in the Department of Mathematics, the Department of Statistics, or the Academy of Integrated Science, depending on background. The faculty handbook (available at www.provost.vt.edu/) provides a complete description of faculty responsibilities.

Required Qualifications

Applicants must have a strong background in computational science or data analytics, with demonstrated leadership solving interdisciplinary problems in a business, government, or research setting; the ability to teach students with diverse interests, backgrounds, and abilities as they tackle open-ended, ambiguous problems; and commitment/sensitivity to address issues of diversity in the university community. Applicants must have earned a master’s degree or doctorate in Computer Science, Mathematics, Statistics, or a related field at the time of appointment.

Preferred Qualifications

Preference will be given to candidates with: ten or more years of experience collaborating on analytic problems within business, government, or academia; experience leading teams engaged in the solution of ill-structured real-world problems; experience teaching practical problem-solving skills to students and/or colleagues; experience teaching professional skills (e.g., teamwork, leadership, project management, technical writing, oral and visual communications) to students and/or colleagues; experience engaging with clients from a variety of industries, organizations, and/or disciplines.

Appointment Type

Regular

Review Date

5/31/2021

Additional Information

The successful Candidate will be required to have a criminal conviction check. Applications must be submitted online and should include (1) a cover letter, (2) curriculum vitae, (3) a teaching statement that describes the candidate’s experience leading or mentoring interdisciplinary computational science/data analytics teams, and (4) a description of any previous activities in expanding the diversity of their scientific/professional community (such as mentoring members of under-represented groups) and of the applicant’s plan to build a culturally diverse educational environment at Virginia Tech. Applications must also include contact information for three references

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 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 veteran 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 Amanda Shepheard at amandabs@vt.edu during regular business hours at least 10 business days prior to the event.

Advertised: April 19, 2021
Applications close: