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Job description
Job Description
The Virginia Tech National Security Institute (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.
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.
The successful candidate will lead and coordinate research activities supporting rapid development, prototyping, test & evaluation, and transition of AI/ML capabilities. Academic research responsibilities will focus on advancing methods, tools, practices, and evaluation approaches that enable rapid, rigorous, and operationally relevant performance assessment of AI, while working closely with government and industry collaborators responsible for development, prototyping, and deployment.
The position operates within a dynamic research ecosystem involving multiple universities, government and industry collaborators, and academic students operating in collaborative on-site and distributed environments. Multiple project teams may operate concurrently, often within short execution timelines (Required Qualifications
• Doctoral degree in engineering, computer science, mathematics, statistics, operations research, or related technical discipline.
• Demonstrated experience in AI, ML, or data-driven systems.
• Demonstrated experience in test & evaluation, experimentation, validation, verification, or performance assessment of complex systems.
• Experience leading or coordinating interdisciplinary technical teams.
• Experience contributing to externally sponsored research programs.
• Demonstrated ability to translate technical concepts into mission-relevant research approaches.
• Strong communication skills.
• US citizenship and active secret clearance.
Preferred Qualifications
• Experience evaluating AI-enabled systems in operational or mission-relevant environments.
• Experience serving as PI or co-PI on externally sponsored research programs.
• Experience working across government, academia, and industry research environments.
• Experience in mission engineering, digital engineering, modeling and simulation, or systems engineering.
• Experience supporting rapid prototyping or iterative capability development environments.
• Experience mentoring interdisciplinary research teams.
• Experience developing research proposals and establishing sponsor partnerships.
• Active TS/SCI clearance.
Overtime Status
Exempt: Not eligible for overtime
Appointment Type
Restricted
Salary Information
Starting at $150,000; commensurate with experience
Hours per week
40 hours per week
Review Date
9/23/26
Additional Information
Must be a US citizen with an active secret clearance. Ability to obtain and maintain a clearance.
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 Lynn Byrd at during regular business hours at least 10 business days prior to the event.
Each agency within the Commonwealth of Virginia is dedicated to recruiting, supporting, and maintaining a competent and diverse work force. Equal Opportunity Employer
Worksite address
arlington, VA, 22201, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.