Internship - Data Science & Autonomous Systems - Critical Infrastructure Protection

Our mission in the Critical Infrastructure Protection Group is to protect the United States' Infrastructure from persistent threats.

Our group is a team of computer, system, and cybersecurity engineers creating game-changing capabilities that enable U.S. infrastructure to be robust in the face of complex and persistent threats. We design, build, hack, destroy, and invent to advance the state of the art. We are not satisfied with producing laboratory-only capabilities. We are continuously deploying our work in operational facilities to truly support our missions.

Our group's work protects U.S. citizens on a daily basis as they fly in our national airspace and ensures resources such as water and power are delivered continuously and safely. As a member of our team, you will both be able to access and shape premier research facilities such as our CYPRESS Laboratory.

We champion creativity and boldness, empowering our staff to design, develop, and pursue in their own unique ways. We embrace a high-performing hybrid work environment, allowing our team to work flexibly so long as the job gets done. We are a caring and fun community that works hard because we love what we do and we want to make a difference.

We are looking for a dedicated Data Science & Autonomous Systems Intern. In this role at APL, you will...

• Collaborate with sponsors to understand their missions and what it means to be successful
• Interact with both legacy and cutting-edge monitoring, prediction, estimation, and control technologies
• Contribute to the development, analysis, and integration of trusted autonomous systems into the national airspace system
• Lead data analysis by developing and using simulations as well as data collected in the field
• Recommend potential system improvements and upgrades.
• Develop techniques to build justification and confidence in AI/ML systems
• Identify opportunities and develop research proposals for future airspace integration solutions

You will meet our minimum requirements if you have...

• Pursuing a Bachelors, Masters, or PhD in Computer Science, Data Science, Artificial Intelligence, Applied Mathematics, Computer or Electrical Engineering, or another related technical field
• 3.0 GPA or above on a 4.0 scale
• Experience with scripting languages (Python, shell, etc.), Linux (command line)
• Experience with Matlab, C/C++
• Experience or interest in Data Science/AI/Machine Learning
• Some experience with version control system, (preferably Git - including branching, pullrequests, and basic conflict resolution).
• Strong interpersonal and communication skills (both verbal and written)
• To access APL's facilities and networks, U.S. citizenship status is required
  , subject to applicable laws

You will go above and beyond our minimum requirements if you have...

• Experience with Agentic frameworks (ex: Langchain/Lang Graph, PydanticAI, OpenAI Agents)
• Experience with SIEMs (ELK, Splunk, etc.)
• Familiarity with containerization and orchestration tools (Docker, Kubernetes, Open Shift).
• Interests in modeling and simulation, decision making under uncertainty, sequential decision making, data mining, and aviation.

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://(Use the "Apply for this Job" box below)..

All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all…