Defense Systems Intern: Signal Processing & ML Research

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) offers a structured summer program for students in engineering, physics, and related fields. You will work with a team of engineers, scientists, and data experts to develop simulations, optimize complex algorithms, and prototype signal processing methods for defense applications.

Candidates should be pursuing a technical degree with strong problem solving skills, a solid GPA, and the ability to obtain security clearance.

Qualifications

• Candidates are in a Bachelor's, Master's, or PhD program in a technical field.
• Minimum 3.0 GPA on a 4.0 scale.
• Strong problem solving and analytical skills.
• Excellent verbal, written, and presentation communication skills.
• Ability to collaborate with colleagues from varied areas and experience levels.
• U.S. citizenship and Interim Secret clearance eligibility by start date; can obtain Secret clearance.

Responsibilities

• Develop large scale simulations of electromagnetic fields and radar systems.
• Optimize algorithms to run on multi-million dollar computational clusters.
• Prototype novel signal processing algorithms for military deployment.
• Use machine learning techniques to augment capabilities.
• Understand electromagnetic phenomena for applications and exploitation.
• Apply data science and machine learning to large, complex datasets.

Skills

Problem solving

Analytical skills

Verbal communication

Written communication

Presentation skills

Collaboration

Security clearance

Education

Bachelor/Master/PhD in Electrical Engineering or related field

Job description

The Johns Hopkins University Applied Physics Laboratory (APL) offers a structured summer program for students in engineering, physics, and related fields. You will work with a team of engineers, scientists, and data experts to develop simulations, optimize complex algorithms, and prototype signal processing methods for defense applications.

Candidates should be pursuing a technical degree with strong problem solving skills, a solid GPA, and the ability to obtain security clearance.