Faculty Position in Physical AI and Assured

About the Role

The Virginia Tech National Security Institute (VTNSI) is seeking motivated Research Data Analyst applicants to begin their careers in a beginning research position supporting rapid growth within VTNSI’s Intelligent Systems Division (ISD). ISD conducts research to address critical areas of national security, including:

• Data science, machine learning, and artificial intelligence (AI)
• Cybersecurity and complex systems engineering
• Complex system validation and test and evaluation (T&E)

ISD brings together researchers from various fields to develop interdisciplinary solutions to cutting-edge technological challenges.

Key Responsibilities

• Performing exploratory data analysis, reporting summary statistics, and visualizing data.
• Performing literature reviews for relevant research areas.
• Designing numerical experiments.
• Training and testing AI/ML models.
• Compiling and summarizing AI/ML model testing results.
• Performing statistical analysis of data and test results.
• Working as part of team-based research efforts.
• Supporting the development of research proposals.
• Developing skills to assist in the documentation and presentation of research results.

Requirements & Tech Stack

• US citizenship
• Ability to obtain and maintain a security clearance.
• Familiarity with statistics and AI/ML concepts such as:
• Design of experiments
• Time series analysis
• Anomaly detection
• Natural language processing
• Large scale data infrastructure
• T&E
• Hands-on experience with tools germane to their research area.
• Tools that will be utilized include:
• Programming languages: R, Python, Matlab
• JMP
• Jupyter Notebooks

Qualifications

• An earned Master's or Bachelor's degree in computer science, computational modeling and data analytics, data science, applied mathematics, or related discipline or related programs.
• Demonstrated ability to work as a member of a team in executing research projects.

Preferred Qualifications

• Active security clearance.
• Interest and/or experience working effectively with an interdisciplinary team.
• Experience working in an academic environment.
• Experience executing on research and/or development programs supporting the federal government.