2026 PhD Graduate - Radar, Machine Learning, Signal Processing, Data Science
Johns Hopkins APL · Laurel, MD · Electrical Engineering
About this role
Johns Hopkins APL is hiring a junior-level Data Scientist based in Laurel, MD. The posting calls out experience with Python, Git, Jira, Machine Learning. Listed education preference: a Ph.D. or equivalent.
- Role
- Data Scientist
- Function
- data engineering
- Level
- junior
- Track
- Individual contributor
- Location
- Laurel, MD
- Education
- Ph.D. preferred
- Visa
- Not sponsored
- Department
- Electrical Engineering
- Posted
- Sep 17, 2025
More roles at Johns Hopkins APL
Job description
from Johns Hopkins APL careersAre you interested in applied R&D?
Do you enjoy working in a creative environment, as part of a varied team of engineers, physicists, and computer scientists?
Do you want to play a critical role in the defense of our country - at sea and at home - from advanced missile threats?
We are seeking highly motivated PhD graduates in Electrical Engineering (EE), Electrical and Computer Engineering (ECE), Computer Science (CS), Physics, or a similar technical degree. We are particularly interested in self-guided, creative problem-solvers who can develop into future technical leaders for our research performed for the US Navy and other DoD sponsors.
As a member of our team, you will...
- Participate in live radar testing and analyze recorded data to gain insights into system performance, particularly with regard to environmental effects/physics.
- Develop and apply detailed, physics-based simulations written in Java, C/C++, Matlab, and Python.
- Learn and creatively apply machine learning, signal processing, and data science to real-world problems that no one else has previously solved.
- Develop novel instrumentation and algorithms for understanding RF propagation effects by directly measuring, recording, and analyzing RF signal measurements.
- Learn, apply skills, and advance the state of the art in our core technology areas of: signal processing, electromagnetics, software development, and boundary-layer meteorology.