Defense AI & Data Fusion Intern

Johns Hopkins Applied Physics Laboratory; Laurel (MD); On-site; USD 31,000 - 66,000; Full time

Job summary

Johns Hopkins University Applied Physics Laboratory (APL) seeks an innovative intern to join the Information Fusion and Artificial Intelligence Group in Laurel, MD. You will work with engineers and scientists to apply AI/ML, data fusion, and distributed algorithms to support DoD missions such as Navy, Missile Defense, and Air Force systems.

You will research algorithms, handle large data sets, build and test software, and create visualizations and documentation for diverse audiences.

Qualifications

• Pursuing a Bachelor's or Master's degree with a 3.0 GPA or higher.
• Fluent in Python or C/C++, with ability to translate concepts into well-documented code.
• Willing to obtain Interim Secret clearance and eventually Secret clearance.

Responsibilities

• Research, implement, prototype, and analyze algorithms; quantify performance and robustness.
• Interact with large datasets for training, testing, cleaning, and pre-processing.
• Create, develop, and debug code for multi-user software test beds.
• Develop effective visualizations and documentation to explain complex topics.

Skills

Python

C/C++

Communication skills

Education

Bachelor's or Master's in CS/Math/Engineering/Physics

Job description

Johns Hopkins University Applied Physics Laboratory (APL) seeks an innovative intern to join the Information Fusion and Artificial Intelligence Group in Laurel, MD. You will work with engineers and scientists to apply AI/ML, data fusion, and distributed algorithms to support DoD missions such as Navy, Missile Defense, and Air Force systems.

You will research algorithms, handle large data sets, build and test software, and create visualizations and documentation for diverse audiences.