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Sensor Signal Processing Engineer
2 months ago
We are seeking an experienced engineer to help us design and develop concepts and algorithms that will solve complex sensor and source integration and data association challenges in networked sensor systems.
Key Responsibilities- Design, develop, and assess sensor and source integration and data association techniques for incorporation into tactical systems.
- Learn about specific active and passive sensor types (RF, EO, IR, ES) and their associated data characteristics, track sources, sensor designs, modes of operation, sensor capabilities, detection and characterization data.
- Integrate sensors, develop automated sensor data processing and conditioning algorithms to address false alarms and sensor artifacts (rings, splits, bias corrections), and associate sensor and characterization data for fusion with dissimilar data into a composite track.
- Prototype concepts and algorithms for processing and integrating next generation sensor measurement and target characterization systems into advanced networked target identification and electronic protection capabilities.
- Investigate and apply state of the art algorithms for track formation and prediction of challenging targets to include adaptive track formation from unassociated sensor measurements, track disclosure with false alarm control, measurement, track, and attribute association to tracks, maneuver detection and magnitude estimation, time synchronization, track-to-track correlation, and feature aided track ambiguity resolution.
- Collaborate with a team of experts to perform analytics on complex sensor data to design novel techniques and criteria to rapidly disclose new tracks and adaptively control false track disclosure rates in challenging detection and high clutter environments.
- Conduct tracking system design trade studies to identify, quantify, and demonstrate performance improvements achieved through the integration of the new candidate sensors or processing algorithms into existing tactical systems.
- Possess a MS degree in Electrical Engineering, Mathematics, Aerospace Engineering, or a related field.
- Have 5+ years of experience in designing and implementing sensor data processing, sensor data association, or target tracking algorithms and concepts.
- Have a theoretical background in statistical or adaptive signal processing.
- Have proficient analytical and applied mathematical skills.
- Have proficiency in MATLAB, Python, or similar programming languages for algorithm development or data analysis.
- Have the ability to perform effectively as part of a multi-disciplinary team.
- Are willing and able to travel up to 5% of the time to remote sites and are comfortable working in closed areas.
- Are able to obtain an Interim Secret security clearance by your start date and can ultimately obtain a Top Secret security clearance.
The Johns Hopkins University Applied Physics Laboratory brings world-class expertise to a broad range of challenges, and what makes us truly outstanding is our culture.
We offer a vibrant, innovation ecosystem where you can feel safe to share ideas and to continue to grow personally and professionally.
We celebrate our differences and encourage creativity and bold, new ideas and have earned Best Places to Work accolades in outlets such as Fast Companies and Glassdoor.
Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance.
APL's campus is located in the Baltimore-Washington metro area.
