2025 Internship - Engineer/Analyst/ Scientist - C2 Resilience Sciences

Are you interested in tackling the challenges in defending our Nation against air, ballistic, and hypersonic missile threats?

Do you want to learn and apply new skills to model and analyze the behavior of complex systems?

If so, we'd love to have you join our team! We are seeking an intern to help us create models, run simulations, analyze test data, and ultimately improve the capabilities of our Nation's developmental and deployed defensive systems. You will be joining a hardworking team of engineers and scientists who perform innovative research, modeling, analysis, testing, and prototype development to ensure resiliency of defensive command and control systems. We are committed to finding the best technical solutions for these command and control challenges, and strive to help our sponsors rapidly field resilent defensive capabilities.

As a member of our team...

• You will work as part of a team to grow our system analytics either through model and simulation development of a defensive system or performance data analysis of a defensive system.
• You will learn about the warfighting mission and the domains where our team has impact, and you will gain technical experience as a system modeler and/or system analyst.

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

• Are pursuing a Bachelor's degree, Master's degree, or PhD in engineering, data science, computer science, physics, math, or a related field with a minimum 3.0 GPA on a 4.0 scale.
• Have a passion for developing technology and/or conducting system analytics.
• Are able to obtain an Interim Secret level security clearance by your start date, and can ultimately obtain a Secret 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 a Bachelor's or Master's degree in engineering, data science, computer science, physics, math, or a related field.
• Have acadamic or practical experience modeling and/or analyzing complex system behaviors.

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 www.jhuapl.edu/careers.

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.