Multi-Sensor Tracking Engineer

Johns Hopkins Applied Physics Laboratory•Laurel, MD

20h•Onsite

About The Position

The Multi-Domain Sensing Architectures and Data Fusion Group is a team that possesses a deep knowledge of sensing, tracking, and data fusion algorithms and architectures. We are seeking an engineer to develop and evaluate multi-sensor tracking and data fusion algorithms that combine measurements and information from diverse sensing sources. We also aim to exploit the strengths of each sensor to ensure robust capability for operation in any adversarial environment. Through research, data analysis, and experimentation, we develop practical solutions to difficult sensing and tracking problems. We care deeply about our staff members and work hard to provide them a supportive environment where they can thrive and grow as professionals.

Requirements

BS in mathematics, electrical engineering, statistics, or related technical field
2 years of relevant professional experience applying tracking theory, state estimation, statistical estimation, or related methods (relevant doctoral research may be considered in place of professional experience)
Experience with one or more tracking topics such as data association, multi-target tracking, Kalman or nonlinear filtering, track initiation and maintenance, or multi-sensor data fusion
Experience using MATLAB, Python, or similar programming languages to develop algorithms, build simulations, and analyze data
Able to obtain an Interim Secret level security clearance by your start date and can ultimately obtain a TS/SCI level clearance.
U.S. citizenship

Nice To Haves

MS or PhD in applied mathematics, electrical engineering, statistics, or related technical field
Hold an active Top Secret security clearance, and can ultimately obtain a TS/SCI level clearance.

Responsibilities

Developing and evaluating methods for state estimation, data association, track initiation and maintenance, and multi-sensor data fusion
Using Monte Carlo analysis, test data, and quantitative evaluation to characterize algorithm behavior and identify performance limitations
Conducting studies to develop tracking system design recommendations
Collaborating with internal and external teams, contributing solutions to complex tracking applications
Developing analysis packages and briefings for our sponsors and other key audiences