Advanced Optical Component Design and Characterization Researcher
Johns Hopkins APL · Laurel, MD · Optics
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 Python, Java, C and roughly 1+ 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
- 1+ years
- Education
- Ph.D. preferred
- Department
- Optics
- Posted
- Jan 5, 2026
More roles at Johns Hopkins APL
Job description
from Johns Hopkins APL careersAre you an optical physicist or engineer who enjoys both modeling/simulation and performing experiments to characterize optical and infrared interactions with novel 2D optical surfaces?
Do you have experience with commercial computational software and optimization tools to gain insight into the interplay between novel materials and electromagnetic fields—specifically optical and infrared—and improve the design accordingly?
Do you seek to collaborate with an interdisciplinary team to carry your solutions through the full cycle of design, fabrication, characterization, and prototyping?
If so, we're looking for someone like you to join our team at APL!
As part of a multi-disciplinary research team, you will join computational and experimental scientists and engineers who are passionate about developing innovative solutions that can impact the future development and application of electromagnetic devices using novel metasurface and phase-change material designs. Our team is committed to scientific excellence and continuous learning, valuing high-risk, high-reward ideas, honest discussion, and open collaboration.
We are seeking a creative and multidisciplinary scientist to help us mature existing projects and grow new ones by identifying emerging sponsor challenges that require novel electromagnetic solutions in the optical frequency range. The scope of the projects can range from fundamental discovery through advanced prototype demonstration. As a member of our team, you'll contribute to research that proceeds from computational modeling and optimization through prototyping and characterization to real-world transitioned technologies.