Radiation Belt Theory & Modeling Researcher
Johns Hopkins APL · Laurel, MD · Space Science
About this role
Johns Hopkins APL is hiring a mid-level Research Scientist in the machine learning function based in Laurel, MD. The posting calls out experience with TypeScript, Data Analytics and roughly 5+ years of relevant work. Listed education preference: a Ph.D. or equivalent.
- Role
- Research Scientist
- Function
- machine learning
- Level
- mid
- Track
- Individual contributor
- Location
- Laurel, MD
- Experience
- 5+ years
- Education
- Ph.D. preferred
- Department
- Space Science
- Posted
- Mar 2, 2026
More roles at Johns Hopkins APL
Job description
from Johns Hopkins APL careersAre you searching for compelling work in the theory and modeling of radiation and energetic particle dynamics in geospace?
Are you passionate about applying cutting-edge space plasma physics research to outstanding challenges for national security?
If so, we're looking for someone like you to join our team at APL!
We are seeking a senior Space Plasma Physicist to join an existing numerical simulation and modeling team to conduct basic scientific research on radiation belts of Earth and other solar system planets, as well as leveraging these tools and understanding for multiple national security applications.
This research position focuses on combined test-particle and global magnetohydrodynamic (MHD) simulations of planetary radiation belts. The work will involve a mixture of fundamental science and applications spanning civil and national security space. The candidate will work in partnership with staff in the group with expertise in kinetic, test-particle and MHD simulations, plasma theory and data analysis. The successful candidate may be expected to publish original research in peer-reviewed journals and team with other staff to pursue external support for continued research and development for fundamental and applied simulation research as well as projects relating to past, ongoing, and future missions.