REU Site: AI-Empowered Cybersecurity
May 26, 2026 - July 31, 2026
Cybersecurity faces challenges from evolving infrastructures, emerging vulnerabilities, and human factors. Artificial Intelligence (AI) is poised to emerge as a crucial tool in this scenario, significantly enhancing threat detection, refining the precision of attack identification, and expediting incident response. The University of Missouri-Kansas City will establish a new Research Experience for Undergraduates (REU) site that orchestrates a summer program to engage undergraduate students in comprehensive AI and cybersecurity research. In this program, students will collaborate closely with faculty mentors on in-depth projects, participate in interactive labs and workshops, and present innovative research findings. Aiming to reach underrepresented groups and institutions with limited research resources, the program promotes diversity and inclusivity in cybersecurity.
This project will investigate the forefront of AI technologies like Generative AI, Large Language Models, and Graph Neural Networks. These technologies will be applied to a spectrum of cybersecurity challenges, such as intrusion detection, advanced phishing detection, code vulnerability analysis, and the development of robust authentication systems. Under the guidance of expert mentors, REU students will significantly contribute to advancing AI-driven cybersecurity solutions. Furthermore, the project will collaborate with GenCyber summer camps, introducing high school students to these critical subjects. REU participants will share their research findings and experiences with camp attendees through panel discussions and presentations, fostering an environment of knowledge transfer and active community engagement.
Application Requirements:
Personal Statement: Provide a detailed statement explaining your interest in the program and research goals.
Transcript: Submit an official transcript from your current institution.
Resume: Include a current resume that outlines your academic and professional experiences.
Reference Letter: One reference letter from a faculty member or a professional in the field is required.
Application Period: January 1, 2026, to March 15, 2026.
Submit Your Application NSF ETAP Site
Eligibility Requirements
Eligibility: undergraduate students enrolled in Computer Science, Data Science, or related STEM fields at U.S. universities.
Citizenship: Must be U.S. citizens or permanent residents.
Remaining Study: At least one semester remains after the program.
Research Interest: Suitable for those interested in AI and cybersecurity applications, including AI-enhanced intrusion and phishing detection, digital forensic knowledge graphs, vulnerability detection using Graph Neural Networks, and AI-driven device authentication and access control.
Academic Aptitude: Strong academic aptitude and a keen research interest are required; no minimum GPA is required.
Program Commitment: Complete a 10-week program from May 26, 2026, to July 31, 2026, including all seminars, reports, and presentations.
Financial Support: Participants receive a $6,000 stipend, plus meal and housing allowances. Travel support is available for non-local participants.
Diversity: Encourages applications from women and underrepresented groups.
University of Missouri - Kansas City
Kansas City, MO
5100 Rockhill Road
Kansas City, MO 64110
USA