• Learn about the principals of inertial navigation systems, including accelerometers and gyroscopes, and leverage data collected during flight tests and ground tests to estimate the underlying, physics-based errors in these systems
• Learn about the dynamics of missile systems, reentry systems, and their associated fuzing mechanisms, and leverage data collected during flight tests and ground tests to estimate the underlying, physics-based errors in these systems
• Evaluate system-level accuracy of current strategic weapon systems and support the design and engineering of future systems to meet mission needs
• Apply artificial intelligence, machine learning, and data fusion methodologies to complex, real-world problems and build robust computational frameworks to support advanced data-centric analyses
• Advance the state of the art in mission planning by developing software and implementing vehicle dynamics models for new and prototype weapon systems
• Develop operational concepts for new weapon systems that leverage advances in estimation and optimization
• Function as part of a multi-disciplinary team to analyze the nuclear survivability of strategic weapon systems and structures

• Have a Bachelor’s degree in Math, Physics, Engineering, Computer Science, Data Science, or a related field
• Are familiar with software development and implementation
• Are familiar with data analysis and associated computational challenges
• Are inquisitive and are willing to learn new skills and expand your capabilities
• Are able to obtain Interim Secret level security clearance by your start date and can ultimately obtain Top 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.

• A Master's degree in Math, Physics, Engineering, Computer Science, Data Science, or a related field
• Statistical analysis, parameter estimation and inverse problems, Kalman filtering, or maximum likelihood estimation using Fisher information
• Linear systems and optimization methods
• Prior experience with tactical or strategic missile systems
• Developing software in C++ or other object-oriented programming languages
• SQL, Database design and administration
• Model-based engineering applications such as DOORs, Cameo, and SysML
• Have knowledge of High Energy Particle Physics, Thermal Mechanical Engineering, Chemical Physics, Nuclear Engineering, Nuclear Weapon Effects, or Plasma Physics
• Hold an active Secret or higher level clearance

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 https://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 Accessibility@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.