2026 PhD Graduate - Aerospace & Thermal Engineering
Johns Hopkins APL · Laurel, MD · Aerospace Engineering
About this role
Johns Hopkins APL is hiring a mid-level 2026 PhD Graduate - Aerospace & Thermal Engineering based in Laurel, MD. The posting calls out experience with Machine Learning. Listed education preference: a Ph.D. or equivalent.
- Level
- mid
- Location
- Laurel, MD
- Education
- Ph.D. preferred
- Department
- Aerospace Engineering
- Posted
- Aug 21, 2025
More roles at Johns Hopkins APL
Job description
from Johns Hopkins APL careersAre you ready to put your aerospace & thermal engineering skills to work solving critical challenges related to the defense of our nation and our service members?
Are you passionate about thermal/aerothermal and aerodynamic design for rocket motor systems, including hypersonic flight and advanced propulsion?
If so, then you are exactly the type of candidate we are looking for! We are seeking highly motivated teammates to join our dynamic group of engineers and scientists. As part of our multidisciplinary team you will work in a highly collaborative and engaging environment.
We are currently looking for candidates to join the Aerospace & Thermal Engineering group that have expertise in:
- Aerodynamics, aeroacoustics & computational fluid dynamics
- Wind tunnel testing; in-silo, restrained fire, and flight testing of rocket motors
- Reacting multi-phase flows, non-equilibrium flows & fluid/structure interactions
- Combustion, thermochemistry, ablation & surface chemistry
- Thermal & aerothermal analysis, design and test
- Multi-waveband sensor modeling & scene generation
- Software architecture, GPU computing & physics-based algorithm development
Our engineers and scientists collaborate closely to find solutions for challenging thermal environments such as in-silo rocket launch, thermal protection systems for hypersonic speeds, and turbulent combustion in detonation engines. At the opposite extreme, we have worked on spacecraft, lunar infrastructure, and systems deployed in Antarctica. All of these environments create challenges not only in thermal and aerodynamic design and testing, but also in predictive modeling.