Cyber Operations Research Intern

Johns Hopkins Applied Physics Laboratory; Laurel (MD); On-site; USD 32,000 - 66,000; Full time

Job summary

Johns Hopkins Applied Physics Laboratory (APL) offers an internship in the Cyber Warfare Systems Group (QCR) for analytical, data, and language skills applied to real-world cyber operations challenges. Interns work alongside analysts, researchers, engineers, and cyber practitioners to contribute to meaningful mission insight while exploring open-source data, OSINT, and AI-enabled analytics.

You will gain hands-on experience investigating ambiguous questions, applying diverse analytical methods,

Qualifications

• Pursuing a Bachelor's or Master's in a relevant analytic field with a minimum 3.0 GPA.
• U.S. citizenship and ability to obtain Interim Secret clearance by start date.
• Strong communication of complex findings to technical and non-technical audiences.
• Interest in cyber operations and national security.

Responsibilities

• Investigate complex questions using open-source and other data sources.
• Apply analytics such as intelligence analysis, targeting, graph theory, and network analysis.
• Develop assessments, data products, or visualizations to support decision making.
• Evaluate AI-enabled tools and understand their opportunities and limitations.
• Collaborate with multidisciplinary teams and partners on mission-relevant work.

Skills

Intelligence analysis

Targeting

Graph theory

Network analysis

Data science

Structured analytic techniques

Human-systems analysis

AI-enabled tools

Education

Bachelor's or Master's in a related analytical discipline

Tools

AI-enabled analytical tools

Job description

Johns Hopkins Applied Physics Laboratory (APL) offers an internship in the Cyber Warfare Systems Group (QCR) for analytical, data, and language skills applied to real-world cyber operations challenges. Interns work alongside analysts, researchers, engineers, and cyber practitioners to contribute to meaningful mission insight while exploring open-source data, OSINT, and AI-enabled analytics.

You will gain hands-on experience investigating ambiguous questions, applying diverse analytical methods,