Radar & Sensor Systems Intern (Summer)

The Johns Hopkins University Applied Physics Laboratory; Laurel (MD); On-site; USD 31,000 - 66,000; Full time

Job summary

The Johns Hopkins University Applied Physics Laboratory (APL) invites students pursuing engineering, math, or physics to join a summer team focused on radar and sensor systems in the Baltimore area. You will work with engineers, physicists, mathematicians, and scientists contributing to next-generation sensor development, testing, and integration to support national defense.

You will develop models and prototype signal processing techniques, applying data science to large datasets and ensuring

Qualifications

• Pursuing a Bachelor's or Master's degree in Electrical Engineering, Computer Science, Aerospace Engineering, Computer Engineering, Systems Engineering, Mechanical Engineering, Engineering Physics, Physics, Applied Physics, Applied Math, Math or related technical field.
• Strong problem solving and analytical skills.
• Minimum 3.0 GPA on a 4.0 scale.
• U.S. citizenship with ability to obtain Interim Secret and later Secret clearance.

Responsibilities

• Develop and analyze models of radar and sensor systems.
• Prototype novel signal processing algorithms for deployment by the military.
• Apply machine learning techniques to augment capabilities.
• Fabricate test fixtures to support test events.
• Apply data science and machine learning to large datasets.
• Test radar systems to ensure they meet requirements.

Skills

Problem solving

Analytical thinking

Security clearance eligibility

Education

Bachelor's or Master's in Electrical Engineering, Computer Science, or related field

Job description

The Johns Hopkins University Applied Physics Laboratory (APL) invites students pursuing engineering, math, or physics to join a summer team focused on radar and sensor systems in the Baltimore area. You will work with engineers, physicists, mathematicians, and scientists contributing to next-generation sensor development, testing, and integration to support national defense.

You will develop models and prototype signal processing techniques, applying data science to large datasets and ensuring