2026 PhD Graduate - System Modeling, Evaluation, and Planning

Overview Are you interested in applying your STEM background to strategic deterrence and defense? Are you interested in defining methodologies that will be used for mission planning and test and evaluation of current and future weapon systems? Do you like contributing to complex efforts that require team-based approaches? If you have a PhD in math, physics, engineering, or computer science, we're looking for someone like you to join our team at APL. The System Modeling, Evaluation, and Planning Group is seeking Weapon System Analysts and Software Engineers to assess the planning and evaluation the nation’s primary strategic deterrents. You will be joining a hardworking team of engineers, physicists, and mathematicians who are passionate about their role as an independent evaluator for the nation’s strategic systems. We strive to foster an environment of innovation and learning to develop the critical technologies and experts of the future. As an analyst in the System Modeling & Estimation group you may work on one or more of the following... Responsibilities 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 Qualifications You meet our minimum qualifications for the job if you... Possess a PhD in applied math, applied statistics, physics, engineering, or a closely related field Are skilled in scientific programming using a high-level language, such as C++, MATLAB, or Python Possess outstanding technical written and oral communication skills Are willing and able to occasionally travel to meetings and sponsor sites Are able to acquire an Interim Secret level security clearance by your start date and can ultimately acquire a final 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. You'll exceed our minimum requirements with experience in any of the following... Statistical analysis, parameter estimation and inverse problems, Kalman filtering, or maximum likelihood estimation using Fisher information Optimal control, numerical optimization, and trajectory design Prior experience with tactical or strategic missile systems Prior experience with inertial navigation systems Have expertise in 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 About Us 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 Accommodations: please refer to View email address on click.appcast.io for accessibility inquiries. 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. If you require a reasonable accommodation to participate in any part of the hiring process, please contact View email address on click.appcast.io. 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. Minimum Rate 102,500 Annually Maximum Rate 227,500 Annually #J-18808-Ljbffr Johns Hopkins Applied Physics Lab