2027 Internship - Sensor Systems/Data Analytics

Johns Hopkins Applied Physics Laboratory•Laurel, MD

3d•Onsite

About The Position

This internship focuses on applying knowledge and skills to solve complex defense-related problems, specifically contributing to the evolution of signal processing and data fusion algorithms to enhance national security. The intern will spend the summer working with a team of engineers, physicists, mathematicians, and computer scientists on the development of advanced sensor systems. The role involves the application and analysis of novel signal and data processing algorithms for threat detection, tracking, and characterization; development of algorithms for fusing active, passive, multi-band, and multi-static sensor data; optimization of multi-sensor architectures for targeting information; application of artificial intelligence, machine learning, data science, and statistical analysis to sensor data; and the analysis and development of sensor signal processing, tracking, and data fusion algorithms using complex simulations in a high-performance computing environment.

Requirements

Pursuing a Bachelors, Masters, or PhD program in Electrical Engineering, Aerospace Engineering, Computer Engineering, Systems Engineering, Mechanical Engineering, Engineering Physics, Physics, Applied Physics, Applied Math, Math or another related technical field
Minimum 3.0 GPA on a 4.0 scale
Strong problem solving/analytical skills
Excellent verbal, written and presentation communication skills
Ability to collaborate effectively with colleagues from varied subject areas and experience levels
Ability to obtain an Interim Secret level security clearance by your start date and ultimately obtain a Secret level clearance
U.S. citizenship

Nice To Haves

Previous internship or research experience in Engineering, Math, Physics or a technical discipline related to the items described above

Responsibilities

Application and analysis of novel signal and data processing algorithms for detection, tracking and characterization of sophisticated threats
Development, application, and analysis of advanced algorithms that intelligently fuse active, passive, multi-band and multi-static sensor data
Optimization of multi-sensor architectures by defining the sensor integration, tasking, and coordination required to obtain high-quality fused multi-domain (air, sea, land, and space) targeting information from multi-spectral and multi-mode sensor capabilities
Application of artificial intelligence and machine learning in sensing and in analysis of sensor data
Application of data science and statistical analysis to large, multi-dimensional datasets
Analysis and development of sensor signal processing, tracking, and data fusion algorithms using complex simulations of integrated sensor architectures in a high-performance computing environment