Internship - Modeling, Simulation & Analysis - Engagement Optimization Group

Are you passionate about taking on challenging problems and working as part of a team to identify solutions?

Do you want to help field solutions to defend the United States, our armed forces, and our allies from sophisticated and advanced air and missile threats?

If you are pursuing a Bachelor's or graduate degree in Mathematics, Electrical Engineering, Aerospace Engineering, Computer Science, Statistics, Physics, or a similar major and want to work on an exciting and collaborative team solving challenging technical national security problems, we'd love to have you join our team.

We are seeking interns to join the Engagement Optimization Group to conduct modeling, simulation, and analysis to identify defensive systems gaps and develop groundbreaking system concepts to improve United States integrated air and missile defensive capabilities. We are also hiring interns to develop and maintain high-fidelity software models of current and future combat system baselines.

• Your primary responsibility will be contributing to the development and assessment of Missile Defense systems.
• You will work with a team to model, analyze, and assess fielded systems and identify opportunities for improvement, propose and develop innovative concepts and algorithms to improve capabilities, and conduct analysis to assess potential future systems performance.
• You will participate in a collaborative team environment dedicated to continual improvement, innovation, and producing high-quality products.

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

• Are pursuing a Bachelor's or graduate degree in Mathematics, Physics, Engineering, or Computer Science and have a GPA of at least 3.0 on a 4.0 scale.
• Can effectively communicate complex technical concepts, buth verbally and in writing.
• Have experience programming in MATLAB, Python, C++, or another high-level language.
• Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain 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...

• Hold an active government security clearance of Secret or higher.
• Have previous experience working for the Department of Defense (DoD), DoD contractors, or similar organizations.
• Have experience working with large-scale simulations, complex systems, or developing analytical toolsets.
• Have experience applying AI/ML tools to streamline data analysis or computer code generation.

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 abilities, including those with disabilities.

If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility .

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,…