Decision Analytics and Applied Mathematics Analyst

Are you interested in changing science fiction into reality for our national security in space?

Are you passionate about creating algorithms for autonomous spacecraft operations?

Do you want to work with brilliant colleagues on challenging problems while still having work-life balance?

If so, we're looking for someone like you on our team at APL!

We are seeking an intellectually curious and technically excellent Decision Analytics & Applied Mathematics Analyst to support mission-driven work in the space domain. You'll develop novel analytical methods, formulate optimization and decision-making models, and contribute to real-world applications in space systems, space situational awareness (SSA), onboard autonomy, and mission-level planning.

As a Decision Analytics & Applied Mathematics Analyst you will......

• Develop models and algorithms for decision-making under uncertainty applied to space-centric missions (e.g., SSA, satellite autonomy, space asset resilience).
• Formulate and solve mathematical problems involving Bayesian inference, stochastic processes, optimization, and reinforcement learning.
• Translate theory into practice by developing software tools and simulations that support mission planning, real-time operations, or predictive analytics.
• Contribute to the design of analytical frameworks and AI-enabled decision support systems for space-based applications.
• Collaborate with subject matter experts in astrodynamics, sensing, autonomy, and space systems engineering to integrate decision analytics into broader mission solutions.
• Present technical results to APL leadership and external government sponsors and contribute to reports and white papers.

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

• Have a Master's degree in Applied Mathematics, Statistics, Physics, Computer Science, Aerospace Engineering, Operations Research, or a related quantitative field with 5+ years of experience.
• Demonstrated experience in one or more of the following:
• Probabilistic modeling and Bayesian inference
• Decision theory and utility-based analysis
• Optimization (deterministic/stochastic/dynamic programming)
• Simulation and modeling of complex systems
• Strong proficiency in scientific programming (Python, Julia, MATLAB, or C++) with experience building analytical software tools.
• Can acquire a Secret clearance by your start date and can ultimately acquire TS/SCI 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 Ph.D. in a relevant technical field.
• Have experience applying decision science, optimization, or inference methods to space applications, such as:
• Tasking space-based sensors or satellites
• Planning and scheduling autonomous space missions
• Space traffic management or conjunction assessment
• Modeling adversarial behavior or strategic interactions in contested space environments
• Familiarity with SSA systems, space control concepts, or satellite operations.
• Experience working with DoD or Intelligence Community mission sponsors.
• Have a TS/SCI 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 http://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 Accommodations@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.