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Research Assistant Professor
Job no: 536192
Work type: Research Faculty
Senior management: Greater Washington, D.C Area
Department: Institute for Advanced Computing
Location: Alexandria, Virginia
Categories: Engineering, Research / Scientific
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.
Advertised: April 20, 2026
Applications close:
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