Cybersecurity Intern: DoD Systems & Defense Tech

The Johns Hopkins University Applied Physics Laboratory

Laurel (MD)

On-site

USD 31,000 - 66,000

Full time

14 days+

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Job summary

The Johns Hopkins University Applied Physics Laboratory seeks cyber-focused interns pursuing CS, cybersecurity, math, or engineering degrees. You will join a technical team performing engineering, development, and integration tasks to support cyber system solutions for DoD sponsors.

Ideal candidates show problem solving, communication, and collaboration skills, plus knowledge of cyber principles and related tech like software development, embedded systems, and AI/ML.

Qualifications

  • Pursuing Computer Science, Mathematics, Engineering, Cybersecurity or equivalent with GPA 3.0+.
  • Knowledge of cybersecurity principles and independent problem solving.
  • Awareness of cybersecurity engineering, software development, and analytics.
  • Ability to obtain interim secret clearance by start date and final clearance later.
  • U.S. citizenship eligibility for access to classified information.

Responsibilities

  • Contribute to software development and cyber tool evaluation.
  • Assist in design analysis and vulnerability identification.
  • Join engineering, development, and integration tasks on cyber systems.

Skills

Cybersecurity knowledge
Problem solving
Communication skills
Team collaboration
Citizenship eligibility

Education

Pursuing degree in Computer Science or related field

Tools

Java
C++
Python
Bash
Embedded systems
AI/ML
Data analytics
Reverse engineering

Job description

The Johns Hopkins University Applied Physics Laboratory seeks cyber-focused interns pursuing CS, cybersecurity, math, or engineering degrees. You will join a technical team performing engineering, development, and integration tasks to support cyber system solutions for DoD sponsors.

Ideal candidates show problem solving, communication, and collaboration skills, plus knowledge of cyber principles and related tech like software development, embedded systems, and AI/ML.

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