2027 Internship - Acoustic Algorithm Development Engineer

Johns Hopkins Applied Physics Laboratory•Laurel, MD

20h•Onsite

About The Position

This internship focuses on developing algorithms with signal processing and machine learning to enhance the use of SONAR for naval operations. The intern will collaborate on small project teams with mentors to aid career development. The role involves applying information processing, machine learning, deep learning, and signal processing to transform raw sensor data into meaningful information for warfighters. Examples include developing algorithms to process sonar returns to find submarines or using signal processing and deep learning with imaging sonar to identify sea bottom-mounted mines. As a member of the Maritime Information Exploitation group, the intern will contribute to projects developing innovative algorithms for real-world operations, work with sensor data to find patterns and signals, and document findings in reports and briefings.

Requirements

Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Mathematics/Statistics, Physics or related field.
Skilled in or have working knowledge of a programming language such as Python, MATLAB, or C/C++.
Strong written and verbal communication skills with the ability to work effectively in small project teams.
Curious about signal processing, machine learning, deep learning, or artificial intelligence.
Minimum 3.0 GPA on a 4.0 scale.
Able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Secret level clearance.
U.S. citizenship.

Nice To Haves

Algorithm development and testing experience and data analysis in languages like Python or MATLAB, particularly for time series or sensor data.
Experience with Fourier transforms, digital signal processing, feature-based machine learning models (e.g. support vector machines, random forests), and/or deep learning models.
Led small project teams to successfully accomplish a technical objective.

Responsibilities

Provide contributions to projects developing innovative algorithms for real-world operations.
Work with raw and processed sensor data to find hidden patterns and weak signals, identify characteristics, and exploit those characteristics with novel algorithms.
Document your algorithms, algorithm performance, and insights in written reports and briefings to Leadership and sponsors.