Senior Principal Signal Processing Scientist

Date Posted:

2024-09-11

Country:

United States of America

Location:

VA111: 1300 N 17th Street, Arlington 1300 North 17th Street Suite 400, Arlington, VA, 22209 USA

Position Role Type:

Unspecified

At Raytheon BBN, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world. 

We solve 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. Our team specializes in developing next-generation sensor system technologies by combining a fundamental understanding of the underlying EM physics including complex electromagnetic interactions and signatures, and propagation phenomenology, with a deep expertise in analysis, statistical signal processing, optimization, and machine learning We are currently searching for a highly qualified RF Signal Processing Research Scientist to join our team in Arlington, VA, Cambridge, MA, or Columbia, MD locations. Desirable candidates will have experience deriving and implementing research-grade algorithms and applying these to data collected from real sensors. Qualified candidates will have academic or professional experience in several of the areas listed below.

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:

Link budgets, terrestrial and free-space propagation models, multipath, non-stationary propagation environments (Doppler spread), clock stability and phase noise, and target kinematics

Antenna pattern estimation

Estimation of bistatic RCS

Sensing:

Sparse array processing, beamforming, direction finding, filtering and tracking

Range-Doppler radar and synthetic aperture radar

Signal classification and recognition

Physical-layer communications:

Modulation techniques and tradeoffs, channel estimation and tracking, MIMO communications, equalization, forward error correction and decoding

LPX waveform design

Multi-user detection

Requirements:

Holds a BS degree and 10 years of experience, or MS and 7 years of experience, or a PhD in Computer Science, Computer Engineering, Electrical Engineering, or relevant field plus 5 years of experience

Develops and applies advanced methods, theories, and R&D techniques from a variety of technical specialties for complex and difficult problems

Independently executes responsibilities with minimal review or supervision

Plans new projects and is project leader, or is technical lead on projects of substantial size, complexity, and importance to the organization. Defines assignments for less senior professionals and provides supervision

Takes proactive action to anticipate, understand, and meet customer needs

Speaks for BBN to external customers; customer relies on experience and performance

Develops novel concepts that address challenging technical problems of concern to BBN’s customers

Documents plans and scientific findings

Position may require som