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Employment Opportunities

The National Security Institute is a fast-growing center at Virginia Tech, and currently supports over 100 faculty, staff, and graduate students. Virginia Tech, which ranked in the top 30 of Forbes' America’s Best Employers for New Grads list and the third-highest ranked educational employer on the list, is committed to developing well-rounded employees who are active members of the university community as well as the community at-large. From comprehensive insurance plans to tuition assistance, Virginia Tech offers employees a variety of benefits and perks.

We are always looking for additional talent to support our programs as faculty, researchers, program managers, and administrative professionals. Opportunities exist both at the main campus in Blacksburg, Virginia, and at the Virginia Tech Research Center in Arlington, Virginia. We primarily seek US citizens and permanent residents to support our defense-funded research projects.

Open Positions at VTNSI

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    Research Faculty Open Rank, Spectrum Dominance Division , redirect

    The Spectrum Dominance Division has an opening for a Research Associate or Research Scientist 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.

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    Research Professorial Open Rank, AI Test and Evaluation , redirect

    VTNSI seeks a Research Assistant Professor, Research Associate Professor, or Research Professor in Artificial Intelligence (AI) Test & Evaluation (T&E) to play a central leadership role in a collaborative government–academia–industry research environment focused on accelerating the development, assessment, and transition of AI and machine learning (ML) capabilities for national security. This position blends responsibilities traditionally associated with technical integrators, chief engineers, and portfolio managers, requiring both deep technical expertise in AI and T&E and demonstrated leadership in managing interdisciplinary research teams, coordinating stakeholders, and shaping research direction in rapidly evolving mission contexts.

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    Research Professorial Open Rank Position, Spectrum Dominance Division , redirect

    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.

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    Research Electrical Engineer I or II, MSD , redirect

    This is a research and development position based in Blacksburg, Virginia, and is part of the Institute’s Mission Systems Division (MSD). MSD brings together researchers from aerospace and ocean systems engineering, mechanical engineering, computer engineering, systems engineering, computer science, AI/ML, and other fields to develop interdisciplinary solutions to cutting-edge technological challenges in platforms including satellites, UAVs, UUVs, and drone swarms. This position is for a hands-on electrical engineer who will build and integrate the electrical and RF subsystems that enable the division’s research testbeds. The successful candidate will spend much of their time in the laboratory and in the field: fabricating and assembling hardware, building cables and harnesses, laying out and populating printed circuit boards, producing design drawings, and standing up and maintaining test infrastructure. The candidate will also serve as a hands-on resource for senior researchers across the division who are developing RF hardware, design drawings, and PCB layout. The successful candidate can expect a competitive salary and benefits in a university setting.

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    Research Assistant Professor, ISD , redirect

    Motivated applicants are sought to join VTNSI as Research Assistant Professor to support rapid growth in our body of programs in data strategies, test and evaluation, artificial intelligence assurance, digital engineering, and cyber analytics and operations. This position serves as a research faculty member of the Hume Center and in the Intelligent Systems Division (ISD). ISD hosts a range of dynamic research projects and the successful applicant will have the ability to contribute to these programs, lead the development of new programs, and mentor students engaged in these programs. ISD is a leader in research and development in three core capabilities: 1) secure and resilient systems, 2) engineering, test, and evaluation of AI systems, and 3) integrated data and decision systems.

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    Research Associate, Data Science , redirect

    The Intelligent Systems Division (ISD), one of the three research divisions of VTNSI, is seeking a Research Associate in Data Science to conduct research in artificial intelligence, systems engineering and test and evaluation (T&E). This is a research and development position that may be based in Arlington, Virginia. ISD brings together researchers from computer science, statistics, machine learning, networks, signals processing and other fields to develop interdisciplinary solutions to cutting-edge technological challenges. Successful candidates for this position will have relevant experience in one or more of the following areas: statistics, systems engineering, data science, computer science, software development, and T&E.