2027 Internship - Decision Systems

Johns Hopkins Applied Physics Laboratory•Laurel, MD

About The Position

Are you interested in applying artificial intelligence, data science, and software engineering techniques to challenging problems in national and health security? If so, consider joining the Decision Systems Group. Our team develops advanced analytic methods and integrated software systems that improve situational awareness and support complex operational decision-making. Our work spans explainable and interpretable AI, surveillance systems, data fusion, large-scale and assured analytics, and human-machine decision support.

Requirements

Pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Mathematics, Data Science, Artificial Intelligence, Software Engineering, or a related technical field.
A minimum GPA of 3.0 on a 4.0 scale.
Experience developing software or conducting analysis using one or more programming languages, e.g., Python, R, Java, C, or C++.
Self-motivated and intellectually curious, with an interest in solving open-ended technical problems and learning new methods and technologies.
Strong written and oral communication skills and the ability to collaborate effectively as part of a multidisciplinary technical team.
US Citizenship status is required, subject to applicable laws.

Responsibilities

Develop and prototype AI/ML algorithms and software systems addressing national and health security challenges.
Explore methods for making AI-enabled systems more explainable, interpretable, transparent, and trustworthy to users and decision-makers.
Develop analytics for surveillance and situational-awareness applications, including detection, characterization, data fusion, and decision support.
Build and operationalize analytic pipelines that transform large, heterogeneous data sets into actionable information.
Work as part of interdisciplinary teams of scientists, engineers, and analysts to design experiments, evaluate algorithms, and transition research concepts into operational capabilities.