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Research Professorial Position, Spectrum Dominance Division

Job in Blacksburg, Montgomery County, Virginia, 24062, USA
Listing for: Virginia Tech
Full Time position
Listed on 2026-07-27
Job specializations:
  • Manufacturing / Production
    Systems Engineer
Salary/Wage Range or Industry Benchmark: 130000 - 200000 USD Yearly USD 130000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Research Professorial Open Rank Position, Spectrum Dominance Division

The Virginia Tech National Security Institute (VTNSI) was formed in 2021 with the aspiration to become the nation’s preeminent academic organization at the nexus of interdisciplinary research, technology, policy, and talent development to advance national security. The Institute grew from the Hume Center, which was launched in 2010 thanks to an endowment from Ted and Karyn Hume. VTNSI is a national leader in advancing security and resilience through innovative and applied research, empowering the next generation of experts, and building strategic alliances to address evolving national security challenges.

We bring together exceptional interdisciplinary faculty, unique research infrastructure, and deep partnerships with industry and government sponsors to execute impactful research and development.

The Spectrum Dominance Division seeks a Research Assistant Professor, Research Associate Professor, or Research Professor at its office in Blacksburg, Virginia. The Spectrum Dominance Division (SDD) within VTNSI is home to 30 full-time faculty researchers with focus areas in electrical engineering, computer engineering, computer science, and applied mathematics. SDD’s portfolio reaches across all aspects of the radio frequency transmit/receive chain, including antenna and phased array design, baseband waveform design, and receiver design.

SDD houses domain expertise in SDR development, AI/ML applied to the radio frequency (RF) spectrum (i.e., RFML), SIGINT, RADAR, cellular, electromagnetic materials, cognitive radio, and additive manufacturing. The hiring rank of this position will be based on the candidates' background and experience.

While engaging in cutting-edge RF research, SDD has a particular focus on TRL 3-6 R&D, acting as the bridge from fundamental research on campus to prototypes for government and commercial sponsors. A particular strength is real-time RF system development leveraging in-house FPGA, GPU, and SDR platforms. Importantly, SDD has successfully transitioned multiple capabilities for real-time RF machine learning, automotive cybersecurity, and radar threat warning models.

Validation of SDD products is accomplished in VTNSI’s state-of-the-art 5,000 sq. ft. of wireless testing and lab spaces as well as the Counter-UAS Testing and Research Center (CTRC), between them housing SDR testbeds, two RF anechoic chambers, and high-end measurement equipment (e.g. spectrum analyzers, vector network analyzers, etc.) supporting bands up to 110 GHz. These capabilities complement a nearly $10M investment in secure computing infrastructure, housing expansive GPU and CPU clusters.

Motivated

applicants are sought to help continue to build SDD’s radio frequency portfolio and will be expected to:
  • Lead the direction and technical execution of sponsored programs to achieve stated sponsor deliverables.
  • Disseminate program outputs into technical documents, publish peer-reviewed academic papers, and/or open-source codebases/datasets/etc.
  • Support business development efforts to secure new sponsored research programs.
  • Support program execution as needed.
Additionally, applicants will have the opportunity to:
  • Mentor undergraduate student teams engaged in experiential learning programs.
  • Obtain a courtesy appointment in a relevant academic department to:
    • Co-advise Master’s and PhD students alongside tenured faculty within relevant academic departments.
    • Occasionally teach relevant courses within the department.
Required Qualifications
  • An earned Doctorate degree in Electrical Engineering, Computer Engineering, or related field.
  • Evidence of high potential for excellence in research and development as demonstrated through peer-reviewed publications and/or open-source codebases.
  • Scholarship and funding credentials that support the rank of either research assistant professor, research associate professor, or research professor.
  • Proficiency with the software/hardware tools germane to the applicant’s field of research.
  • Demonstrated ability to work as a member of a team in scoping and executing research projects.
  • Given the nature of the research conducted and the requirements from federal sponsors, the candidate must be a U.S.…
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