Shipboard Data Visualization Intern — Computer Engineering

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

Job summary

The Johns Hopkins University Applied Physics Laboratory seeks a Computer Engineering intern to modernize data analysis and visualization for defense-focused projects. You will learn legacy applications, prototype data management using SQL Server, MATLAB/Simulink, Python, and AI techniques, and collaborate in an Agile setting.

You will work with multidisciplinary teams on sensor and data acquisition systems, prepare technical reports, and present findings to sponsors while expanding coding skills

Qualifications

• Pursuing a Bachelor's or Master's degree in Computer Engineering, Computer Science, or a related field.
• Minimum 3.0 GPA on a 4.0 scale.
• Eligible for Interim Secret clearance and eventual Secret clearance; U.S. citizenship required.

Responsibilities

• Learn and maintain legacy software with modernization in mind.
• Prototype data management/visualization approaches using SQL Server, MATLAB/Simulink, Python, and AI.
• Collaborate with multidisciplinary teams to develop sensor and data acquisition systems for testing.
• Participate in Agile development with GitLab, Jira, etc.
• Prepare technical reports and brief presentations for staff and sponsors.

Skills

C++ programming

C#

Python

MATLAB

JavaScript

Education

Bachelor's or Master's degree in Computer Engineering, Computer Science, or related field

Tools

SQL Server

MATLAB/Simulink

GitLab

Jira

Python

Job description

The Johns Hopkins University Applied Physics Laboratory seeks a Computer Engineering intern to modernize data analysis and visualization for defense-focused projects. You will learn legacy applications, prototype data management using SQL Server, MATLAB/Simulink, Python, and AI techniques, and collaborate in an Agile setting.

You will work with multidisciplinary teams on sensor and data acquisition systems, prepare technical reports, and present findings to sponsors while expanding coding skills