AI & Data Fusion Internship for Defense Tech

The Johns Hopkins University Applied Physics Laboratory

Laurel (MD)

On-site

USD 31,000 - 66,000

Full time

5 days ago

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Job summary

The Johns Hopkins University Applied Physics Laboratory (APL) invites interns to join the Information Fusion and Artificial Intelligence Group in Laurel, MD. You will apply math, engineering, computer science, and physics to implement distributed algorithms, AI/ML, and data fusion for DoD missions and Navy/air force systems.

As an intern, you will research, prototype, and analyze algorithms, handle large data sets, and develop code for multi-user test beds, with opportunities to visualize

Qualifications

Pursuing a Bachelor's or Master's in CS, Math, Engineering, Physics or similar with GPA ≥ 3.0.
Fluent in Python or C/C++, able to translate concepts into well-documented, efficient code.
Willing to obtain Interim Secret clearance and eventual Secret clearance; U.S. citizenship required.
Strong written and verbal communication skills.

Responsibilities

Research, prototype, and analyze algorithms; quantify robustness and confidence.
Interact with large data sets for training, testing, data cleaning, preprocessing, and manipulation.
Create, develop, and debug code for multi-user software test beds.
Create effective visualizations and documentation to explain complex topics to diverse audiences.

Skills

Python

C/C++

Education

Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, Physics, or similar

GPA 3.0 or higher

Job description

As an intern, you will research, prototype, and analyze algorithms, handle large data sets, and develop code for multi-user test beds, with opportunities to visualize

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