Assistant Professor

Job Description

The Department of Economics at Virginia Tech invites applications
for a tenure-track Assistant Professor position beginning August
2027. We seek candidates with the potential to establish an
internationally recognized research program in Economics, Data
Science, or related disciplines, with interests broadly connected
to the use of data, computation, and quantitative methods to
address important economic, business, technological, or societal
questions. We particularly value candidates whose research
incorporates emerging technologies, including artificial
intelligence (AI), machine learning, or related innovations, or who
employ modern computational and data-intensive methods to address
economic questions and inform decision-making. The successful
candidate will be expected to contribute to the department's
research mission, teach at the undergraduate and graduate levels,
and participate in interdisciplinary activities across the
university.

The successful candidate will be expected to develop and maintain a
high-quality research program, contribute to undergraduate and
graduate teaching, and participate in the intellectual life of the
department and university. Candidates should demonstrate the
potential to produce impactful scholarship, engage in
interdisciplinary collaboration, and contribute to the training of
students in data-driven methods and applications. Salary and
teaching assignments will be commensurate with qualifications and
experience.

Required Qualifications

Applicants must have earned a Ph.D. by the date of appointment in
Economics, Data Science, or a closely related field.

Candidates should demonstrate strong potential for developing an
internationally recognized research program in areas related to
data-intensive inquiry, including but not limited to artificial
intelligence, machine learning, big data analytics, computational
social science, network science, or other domains involving the
analysis and use of large-scale data.

Successful applicants must show evidence of the ability to teach
effectively at the undergraduate and graduate levels and to mentor
students in data-driven methods and applications.

Candidates should possess excellent written, oral, and
interpersonal communication skills, as well as a demonstrated
interest in interdisciplinary research and collaboration across
fields.

The successful candidate will be expected to contribute to a
vibrant research and teaching environment through high-quality
scholarship, innovative instruction, and engagement with colleagues
across the university.

Preferred Qualifications

Preference will be given to candidates whose research addresses
important economic, business, technological, societal, or policy
challenges through the analysis and use of large-scale data.

Demonstrated interest in interdisciplinary collaboration across
fields such as Economics, Data Science, Computer Science,
Statistics, Engineering, and Business is desirable. Experience
developing innovative courses or training opportunities in machine
learning, artificial intelligence, data science, or analytics is an
asset.

Candidates whose scholarship combines methodological innovation
with substantive applications, and who show strong potential for
developing externally funded collaborative research programs, are
especially encouraged to apply.

Overtime Status

Exempt: Not eligible for overtime

Appointment Type

Regular

Salary Information

Commensurate with experience

Hours per week

40 hours - exempt position

Review Date

December 12, 2026

Additional Information

A completed application must include a cover letter, curriculum
vitae, research statement, teaching statement, and the names and
contact information of three references.

The successful candidate will be required to have a criminal
conviction check.

Some travel to meetings and conferences may be required.

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 Blacksburg, the greater Washington, D.C.
area, the Health Sciences and Technology Campus in Roanoke, sites
in Newport News and Richmond, and numerous
Extension offices and
research institutes . A leading global research institution,
Virginia Tech conducts more than $650 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 Lynn Gentry at ldrader@vt.edu during regular business
hours at least 10 business days prior to the event.