Principal Research Scientist: Signal Processing

Date Posted:

Country:
United States of America
Location:
US-VA-ARLINGTON-111 ~ 1300 17

Th St N ~ BBN ARLINGTON
Position Role Type:
Onsite
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
Security Clearance Type:
DoD Clearance:
Top Secret
Security Clearance Status:
Active and existing security clearance required on day 1
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:
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.

• 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.

• CAF, SCF, SOF estimation.
• Computation of Cyclic Cumulants.
• Cyclic Feature Detection.

• 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.

• 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.

• Sparse array processing, beamforming, direction finding, filtering and tracking.
• Range-Doppler radar and synthetic aperture radar (SAR).
• Signal classification and recognition.

• Modulation techniques and tradeoffs, channel estimation and tracking, MIMO communications, equalization, forward error correction and decoding.
• LPX waveform design.
• Multi-user detection.

• M.S. in Electrical Engineering, Mathematics, or Physics plus 5+ years of relevant experience, or Ph.D. plus 3+ years experience.
• Experience with signal processing, including estimation, detection, etc.
• Experience with RF modeling and sensing.
• Active Top Secret government security clearance.

• Position may require some overnight travel.
• Experience applying…