Based on the foundation of the Ted and Karyn Hume Center for National Security and Technology, Virginia Tech launched the Virginia Tech National Security Institute (VTNSI) in September 2021. With a presence in Blacksburg and the Washington, D.C., metro area, the institute aspires to be the nation's preeminent academic organization at the nexus of interdisciplinary research, technology, policy, and talent development, the national security institute will advance national security in pursuit of a secure America. Motivated applicants are sought to join VTNSI as Research Assistant Professor, Research Associate Professor, or Research 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. Rank will be determined based upon experience and credentials. 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. Specific responsibilities include the following: (1) support the execution of university sponsored programs by conducting research and development; (2) author technical documents and publish peer-reviewed academic papers; (3) support the development of new funded research programs by participating on proposal teams and supporting the business development activities of VTNSI; (4) support the development and growth of the future national security workforce through student mentoring and advisement, and workforce training and education. We are seeking individuals with expertise in artificial intelligence, machine learning, data science, test and evaluation, mathematics, statistics, cyber security, and/or digital engineering. Successful applicants will have experience applying these methods to complex organization and/or system technologies.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
Number of Employees
1,001-5,000 employees