Research Professorial Faculty , AI Test and Evaluation

Position: Research Professorial Faculty Open Rank, AI Test and Evaluation
Research Professorial Faculty Open Rank, AI Test and Evaluation

Job no: 536347
Work type: Research Faculty
Senior management: Vice President for Research
Department: VTNSI
Location: Arlington, Virginia
Categories: Information Systems / Technology, Research / Scientific

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 (< 6 months), requiring strong coordination, prioritization, and technical leadership to ensure research efforts remain aligned with mission needs and enterprise-level priorities.

As a member of VTNSI's research faculty, the individual will contribute to strengthening institutional capabilities in AI Test & Evaluation, AI Assurance, digital engineering, and mission engineering, while supporting growth of a sustainable research portfolio aligned to sponsor priorities.

Responsibilities include the following:
1) Technical Leadership and Research Integration:
Lead the development and integration of AI Test & Evaluation research activities by translating mission needs and operational constraints into actionable evaluation strategies, technical approaches, and research plans; coordinating multidisciplinary teams; and addressing performance, uncertainty, trustworthiness, and system considerations in mission-relevant environments.
2) Program Leadership and Portfolio Development:
Manage an interdisciplinary research portfolio supporting rapid development, prototyping, T&E, and transition of AI-enabled capabilities by establishing research priorities across multiple concurrent projects; aligning technical efforts with sponsor needs and institutional objectives; guiding proposal development; and contributing to sustainable growth of research programs aligned to national security priorities.
3) Collaborative Research Environment Leadership:
Coordinate collaborative research activities across government, academia, and industry partners by facilitating integration of technical efforts among rotating faculty experts, interdisciplinary researchers, and external collaborators; establishing effective teaming structures and workflows; and ensuring shared understanding of research objectives, evaluation approaches, and mission priorities across concurrent projects.
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