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PhD Graduate - Cyber Resilience of Military Systems

Job in Laurel, Anne Arundel County, Maryland, 20724, USA
Listing for: The Johns Hopkins University Applied Physics Laboratory
Full Time position
Listed on 2026-04-29
Job specializations:
  • Security
    Cybersecurity
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: 2026 PhD Graduate - Cyber Resilience of Military Systems
Location: Laurel

Description

Do you love to push the bounds of science and technology while solving some of the most ambitious problems facing our Nation?

Are you a creative and inventive researcher looking to defend military systems?

If you are graduating with a PhD in Computer Science, Computer Engineering, Electrical Engineering, Math, Physics, or related fields, and want to contribute to important national security missions, we'd love to have you join our team!

We are seeking dedicated individuals to perform purposeful research into cyber resilience of military platforms/systems supporting state‑of‑the‑art capability development. Our team works collaboratively with industry, academia, and government to study, design, develop, implement, and test cyber capabilities applied to air, afloat, ground, and undersea military and/or tactical platforms and systems.

As a member of our team...

  • You will enhance the architecture and design of ships, subs, aircraft, autonomous military systems, and weapons to enhance resilience to cyber attack in the presence of an adverse cyber environment.
  • You will join forces with team members in the analysis of systems to identify and understand security vulnerabilities and their impact on missions.
  • You will also collaborate with team members in the definition and design of robust and resilient solutions for the acquisitions, operations and sustainment of military and tactical systems in the presence of adverse cyber environments.
  • You can use internal funding opportunities to craft the direction of future research.
  • You will circulate knowledge by articulating ideas clearly through papers and presentations to technical staff, management, and government decision makers.
Qualifications

You meet our minimum qualifications for the job if you...

  • Have a PhD in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Physics, or a related technical area.
  • Have an educational background or specialization interest in at least one of the following categories:
    • Proficiency in one or more programming languages such as Python, Java, Golang, Rust, C, or C++.
    • Proven experience in software development, testing, and deployment, preferably in a cybersecurity context.
    • Experience writing, analyzing, performing gap analysis, or validating requirements in accordance with INCOSE or IEEE/ISO standards.
  • Demonstrate strong interpersonal skills and the ability to work independently and on a team.
  • Proven demonstration as a critical thinker, developing solutions to complex problems.
  • Excellent communication skills, both written and verbal.
  • Ability to occasionally travel (up to 10%) and work as required in classified areas.
  • Are able to acquire an Interim Secret level security clearance by your start date and can ultimately obtain a TS/SCI+poly level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.
You'll go above and beyond our minimum requirements if you...
  • Have experience designing solutions that inhibit or mitigate operational impact from cyber attack given constraints of funding, operations, performance and/or organization.
  • Have experience applying data science, mathematical modeling, and/or machine learning (ML) and artificial intelligence (AI) techniques to solve cyber problems.
  • Experience with computer networks and network analysis tools (e.g., Wireshark, Suite).
  • Engineering experience in the area of model-based systems engineering (MBSE).
  • Experience using tools such as Cameo or other industry standards for developing complex systems-of-systems models.
  • Hands‑on experience planning, developing, and using simulation capabilities and advanced analytics for analyzing complex problems.
  • Experience with virtual machines, virtual networking, and/or hypervisor configuration/management (e.g., ESXi, Hyper‑V).
  • Have had prior interactions with the DoD and IC communities.
  • Hold an active DoD Top Secret or TS/SCI Clearance.
About Us

The Johns Hopkins University Applied Physics Laboratory (APL) brings world‑class expertise to our nation's most critical defense, security,…

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