2027 PhD Graduate - Trajectory Optimization Engineer - System Modeling, Evaluation, and Planning Group

Johns Hopkins Applied Physics Laboratory•Laurel, MD

8d•Onsite

About The Position

The System Modeling, Evaluation, and Planning Group within the Force Projection Sector of the John Hopkins Applied Physics Laboratory is seeking Trajectory Optimization Engineers to develop models, numerical algorithms, and novel approaches for mission planning and evaluation of missile systems. You will be joining a hardworking team of engineers, physicists, software developers, and mathematicians who are enthusiastic about their role in the development of engineering solutions 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.

Requirements

Hold a Ph.D. in an engineering discipline, computational science, applied mathematics, or a related technical field
Are proficient with a high-level programming language, such as MATLAB or C++
Have a background in nonlinear programming and/or optimal control theory
Have demonstrated experience working with complex mathematical models
Are able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a 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.

Nice To Haves

Have experience implementing numerical algorithms in C++ (or similar compiled/object-oriented programming language)
Have experience developing 3-DoF and/or 6-DoF flight simulations
Hold an active Top Secret security clearance or higher

Responsibilities

Apply advanced numerical optimization methods and computational approaches to hypersonic vehicles
Model the dynamics of hypersonic vehicles in varying environments
Develop software for mission planning and flight system evaluation using advanced numerical optimization methods
Design methods for evaluating and testing developed software
Document and present work to sponsors and third-party collaborators
Interact with sponsors and external representatives to formulate concepts of operation for these novel and advanced technologies