Description 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, diversity, 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 Computer Science Intern (Data Science). 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 Qualifications Qualifications Pursuing a Masters, Bachelors, or PhD in Computer Engineering, Electrical Engineering, Machine Learning, Artificial Intelligence, Robotics, Data Science, Computational Physics, or Computational Mathematics 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++ Applicable areas of interest include modeling and simulation, decision making under uncertainty, sequential decision making, data mining, and aviation. Experience or interest in Data Science/AI/Machine Learning 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 Why work at APL? 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 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 http://www.jhuapl.edu/careers. For more information about the lab you can find resources here https://www.jhuapl.edu About Us APL is an Equal Opportunity/Affirmative Action employer. 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 promoting an innovative environment that embraces diversity, encourages creativity, and supports inclusion of new ideas. In doing so, we are committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accommodations@jhuapl.edu. Only by ensuring that everyone’s voice is heard are we empowered to be bold, do great things, and make the world a better place. The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis. Minimum Rate $21.90 Hourly Maximum Rate $46.45 Hourly