2025 Graduate – Multidisciplinary Design Optimization
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Job Detail
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Job Description
Are you excited to develop innovative solutions to revolutionize the design, analysis, and optimization of US weapon systems?
Do you want to work in an environment that encourages you to guide your own career through exposure to a diverse set of novel problems and multidisciplinary teams?
- Identify, investigate, and solve multi-disciplinary problems with respect to aerospace vehicle design and kill chain engineering. Conduct trade, optimization, and sensitivity studies to inform and lead concept development for the next generation of missile and/or weapon systems, including system-of-systems considerations.
- Apply yourself across a diverse work portfolio, including missile design and performance, mission planning, fire control/weapon scheduling, ballistic missile defense, anti-air warfare, hypersonic defense, defensive space control applications, and early-stage hardware design.
- Develop and apply state of the art physics-based and empirical models and simulations for the conceptual design and performance estimation of U.S. and adversary weapon systems.
- Help guide technical programs to successful outcomes with clear communication to APL partners and sponsors, and identify potential future projects through sponsor engagement and internal research and development.
- Apply state of the art processes outside of the defense domain to supplement APL’s offerings to sponsors.
Qualifications
You meet our minimum qualifications for the job if you…
- Pursuing a Bachelor’s or Master’s in Aerospace or Mechanical Engineering, or similar discipline
- Familiarity with aerospace problems and focused experience in at least one system or subsystem-level discipline (e.g. vehicle design, solid/liquid propulsion, aerodynamics, guidance, seekers, trajectory optimization, etc.)
- Experience with at least one of the following advanced design methods: numerical optimization, multidisciplinary design optimization, and statistical modeling techniques such as the formal sensitivity analysis, uncertainty quantification, and surrogate/metamodeling (e.g. response surface equations, neural nets, etc.).
- Ability to codify real-world constraints into representative mathematical models which are usable within optimization algorithms, and subsequently draw meaningful conclusions from numerical results.
- Proficiency with a programming language (MATLAB, Python, C++, etc.), as well as an appetite for MATLAB programming.
- Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a Top Secret level clearance. If you are 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.
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 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.