2026 Internship - Decision Systems Intern

Are you passionate about translating your academic career into building solutions to some of our nation's most pressing challenges?

If so, consider joining the Decision Systems Group, where we enhance the safety and security of the nation through "Critical Contributions to Critical Challenges." Our team advances analytic methods and develops integrated software systems that empower informed decision-making, driving progress at the forefront of national and health security.

On our team you will..

• Engineer and prototype systems and algorithms that will impact national health and security.
• Help craft and operationalize analytic pipelines that inform situational awareness and decision making.
• Work within a team environment to develop, perform, and automate analyses on large, data sets in support of critical operational requirements.

You will meet our minimum qualifications if you...

• Are pursuing a Bachelor's, Master's, or PhD in Computer Science, Mathematics, Software Engineering, or a related field

• Have a minimum GPA of 3.0 on a 4.0 scale

• Are self-motivated and proactive, with strong intellectual curiosity and a desire to learn from others

• Have experience with one or more programming languages, such as Python, Matlab, R, Java, C, or C++

• Possess excellent written and oral communication skills, strong organizational abilities, and a talent for building relationships

• To access APL's facilities and networks, US 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 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 http://www.jhuapl.edu/careers.

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 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.

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.