Air & Missile Defense Signal Processing Engineer

Johns Hopkins Applied Physics Lab; Laurel (MD); On-site; USD 85,000 - 165,000; Full time

Job summary

Johns Hopkins Applied Physics Laboratory (APL) seeks graduates to contribute to distributed air and missile defense systems through algorithm development, modeling and analysis. You will work on sensor data processing, multi-sensor data fusion, and networked systems across sensors, networks, combat systems and weapons to develop innovative defense solutions.

Join a team that uses math, engineering, physics and software to model and optimize current and prototype defense concepts, with

Qualifications

• Bachelor's or Master's degree in Electrical Engineering, Mathematics, Physics, or a related field.
• Theoretical knowledge in probability, statistics, linear algebra, algorithm design, signal processing, time-frequency analysis, communications theory, electromagnetic theory, and machine learning.

Responsibilities

• Develop distributed air and missile defense systems and algorithms.
• Model, analyze, and study performance of current systems; propose improvements.
• Provide status updates and results in reports and presentations.
• Grow and advance within the group.

Skills

probability theory

statistics

linear algebra

algorithm design

signal processing

time-frequency analysis

communications theory

electromagnetic theory

machine learning

MATLAB

Python

C/C++

Education

Bachelor's degree in Electrical Engineering

Master's degree in Electrical Engineering/Mathematics/Physics

Tools

MATLAB

Python

C/C++

Job description

Johns Hopkins Applied Physics Laboratory (APL) seeks graduates to contribute to distributed air and missile defense systems through algorithm development, modeling and analysis. You will work on sensor data processing, multi-sensor data fusion, and networked systems across sensors, networks, combat systems and weapons to develop innovative defense solutions.

Join a team that uses math, engineering, physics and software to model and optimize current and prototype defense concepts, with