PhD Sensor Systems Engineer - Radar & ML Analytics

Johns Hopkins Applied Physics Laboratory; Laurel (MD); On-site; USD 105,000 - 245,000; Full time

Job summary

Johns Hopkins Applied Physics Laboratory (APL) in Laurel, Maryland, is seeking engineers and scientists for the Sensor Systems Group to develop radar and sensor systems and prototype novel signal processing algorithms. You will work with a team of researchers addressing national security challenges and apply ML to complex datasets.

The role demands a PhD in a related technical field, strong programming skills (Matlab, Python, C++), and experience with radar/RF systems.

Qualifications

• PhD or near completion in Electrical Engineering, Computer Science, or related field.
• Interest in sensor systems with Matlab, Python, C++ knowledge.
• Experience in Aerospace, Hypersonics, Radar, or RF systems.
• Ability to manipulate large data sets and apply ML techniques to radar domain problems.

Responsibilities

• Develop and analyze models of next generation radar and sensor systems.
• Prototype novel signal processing algorithms for defense applications.
• Use ML techniques to augment capabilities.
• Fabricate test fixtures to support test events.
• Apply data science to large datasets and validate radar systems against requirements.

Skills

Matlab

Python

C++

Data handling

Scripting

Problem solving

Communication

Collaboration

Security clearance

Education

PhD in related field

Tools

Matlab

Python

C++

Job description

Johns Hopkins Applied Physics Laboratory (APL) in Laurel, Maryland, is seeking engineers and scientists for the Sensor Systems Group to develop radar and sensor systems and prototype novel signal processing algorithms. You will work with a team of researchers addressing national security challenges and apply ML to complex datasets.

The role demands a PhD in a related technical field, strong programming skills (Matlab, Python, C++), and experience with radar/RF systems.