Description Do you want to learn more on how to best defend the United States, our armed forces, and our allies from all forms of air and missile threats? If you are pursuing a Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, Physics, or a similar major and want to work in an exciting and collaborative environment to solve challenging technical problems, we'd love to have you join our team. We are seeking an innovative and highly talented intern to join our Information Fusion and Artificial Intelligence Group. You will be joining a team of engineers and scientists who are at the forefront of APL's mission to provide innovative solutions to critical challenges. Accurate, timely, and actionable information derived from a variety of sources provides the warfighter advantages over its adversaries. Our group at APL identifies, develops, and applies efficient and effective algorithms to support critical capabilities for a variety of DoD missions. As an intern, you will apply math, engineering, computer science, and physics knowledge to implement new distributed algorithms, advanced Artificial Intelligence/Machine Learning techniques, data fusion concepts, etc. in support of a wide variety of US Navy, Missile Defense, and Air Force systems. As a member of our team... You will research, implement, prototype, and analyze algorithms, quantify and document the performance capabilities and limitations of algorithms for specific tasks, and provide metrics of robustness and confidence in specific approaches. You will interact with large data sets of various types, formats, and structures for algorithm training and testing, data cleaning, pre-processing, normalization, or manipulation as needed. You will create, develop, and debug code to contribute to various multi-user software test beds. You will create effective visualizations and documentation to explain complex topics to a variety of audiences. Qualifications You meet our minimum qualifications for the job if you... Are pursuing a Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, Physics, or similar degrees with a minimum 3.0 GPA on a 4.0 scale Are fluent in Python or MATLAB, with the ability to translate mathematical concepts into well-documented and efficient code Have a desire to apply software engineering techniques to complex problems Have good written and verbal communication skills 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... Have prior experience developing algorithms Have demonstrated experience in working with version control software like Git 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. 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.Do you want to learn more on how to best defend the United States, our armed forces, and our allies from all forms of air and missile threats? If you are pursuing a Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, Physics, or a similar major and want to work in an exciting and collaborative environment to solve challenging technical problems, we'd love to have you join our team. We are seeking an innovative and highly talented intern to join our Information Fusion and Artificial Intelligence Group. You will be joining a team of engineers and scientists who are at the forefront of APL's mission to provide innovative solutions to critical challenges. Accurate, timely, and actionable information derived from a variety of sources provides the warfighter advantages over its adversaries. Our group at APL identifies, develops, and applies efficient and effective algorithms to support critical capabilities for a variety of DoD missions. As an intern, you will apply math, engineering, computer science, and physics knowledge to implement new distributed algorithms, advanced Artificial Intelligence/Machine Learning techniques, data fusion concepts, etc. in support of a wide variety of US Navy, Missile Defense, and Air Force systems. As a member of our team... You will research, implement, prototype, and analyze algorithms, quantify and document the performance capabilities and limitations of algorithms for specific tasks, and provide metrics of robustness and confidence in specific approaches. You will interact with large data sets of various types, formats, and structures for algorithm training and testing, data cleaning, pre-processing, normalization, or manipulation as needed. You will create, develop, and debug code to contribute to various multi-user software test beds. You will create effective visualizations and documentation to explain complex topics to a variety of audiences.