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Signal Processing Research Scientist

RTX

Arlington, USA

Full-time

Senior · 12+ years experience

Discovered 5 days ago

Free

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Position Role Type:
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
Security Clearance Type:
Security Clearance Status:
RTX BBN solves challenging problems of high importance to our customers in the Department of Defense, the Intelligence Community and Industry by rapidly prototyping systems for sensing complex physical phenomena, correlating them to events of interest, and producing high-value, actionable information from the sensed data. The team specializes in delivering networked sensor system solutions by combining a strong understanding of the underlying physics, high-fidelity modeling, simulation of complex signatures and propagation phenomenology, deep expertise in signal processing, EM and RF phenomenology, and computer science, proven capabilities in system development, and mature tools to enable rapid design cycles from theory to demonstration. We are currently searching for a highly qualified Signal Processing Research Scientist to join our team in Arlington, VA.
Role Overview:

Statistical signal processing:
Estimation techniques including Bayesian and non-Bayesian estimators, performance measures such as bias and mean-square error and bounds on estimator performance such as the Cramer-Rao lower bound.
Detection techniques including the Neyman-Pearson detection, probabilities of detection and false alarm, receiver operating curves, etc.
Cyclostationary signal processing:
CAF, SCF, SOF estimation.
Computation of Cyclic Cumulants.
Cyclic Feature Detection.
Adaptive signal processing:
Temporal and space-time adaptive processing.
Interference covariance estimation techniques including both structured and reduced-rank techniques.
Wiener filtering and on-line adaptive techniques such as LMS and RLS.
Kalman filtering, particle filtering, and multi-hypothesis tracking.
Machine learning and optimization for optimal control.
RF propagation and signature modeling:

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