Job Description
Job Description
Applications are invited for a full-time Research Assistant
Professor position within the Institute for Advanced Computing
(IAC) located at Virginia Tech’s Academic Building One in the
Washington DC metro.
The Research Assistant Professor will conduct and help lead
research in next-generation wireless systems, mobile distributed
MIMO, AI-enabled wireless networking, and integrated sensing and
communications (ISAC) for 5G/6G and beyond. The position will
support federally funded research initiatives, including projects
supported by the FutureG Office, U.S. National Science Foundation
(NSF), and National Telecommunications and Information
Administration (NTIA) focused on future wireless systems and
network intelligence.
The successful candidate will develop innovative algorithms, system
architectures, and experimental platforms to advance intelligent
wireless networks and spectrum management for mobile distributed
MIMO. The Research Assistant Professor will collaborate with
faculty members, graduate students, and external partners from
academia, industry, and government agencies. Responsibilities may
include developing research proposals, contributing to externally
funded research programs, mentoring graduate students, and
supporting the coordination of collaborative research
projects.
The position provides opportunities to lead interdisciplinary
research initiatives and publish in leading journals and
conferences.
The position is based at the Virginia Tech’s Academic Building One
in the greater Washington, D.C. area and offers opportunities to
collaborate with industry partners and government research
organizations.
Required Qualifications
● Ph.D. in Electrical Engineering, Computer Engineering, Computer
Science, or a closely related field.
● Demonstrated research expertise in wireless communications,
networking systems, machine learning for networking, or related
areas.
● Demonstrated record of peer-reviewed publications in relevant
conferences or journals.
● Experience conducting prototype of SDR-based distributed MIMO
testbed.
● Excellent written and verbal communication skills.
Preferred Qualifications
● Experience in 5G/6G wireless systems, spectrum sharing, or
wireless network optimization.
● Experience developing research proposals or participating in
externally funded research projects.
● Experience mentoring graduate or undergraduate students.
● Experience collaborating with industry or government research
partners.
● Experience working on large-scale federally funded research
projects.
Overtime Status
Exempt: Not eligible for overtime
Appointment Type
Restricted
Salary Information
Commensurate with experience
Hours per week
40
Review Date
4/24/2026
Additional Information
The successful candidate will be required to have a criminal
conviction check.
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 Stuart Cline at
stuart90@vt.edu during regular business hours at least 10
business days prior to the event.
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