Senior Principal, Signal Processing Research Scientist

Job d:
Posted Yesterday

Start Date:

Location:

US-TX-REMOTE Country:
United States of America Time Type:
Full time

Date Posted:

Country:

United States of America

Location:

US-TX-REMOTE

Position Role Type:

Remote

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: TS/SCI

Security Clearance Status:
Active and existing security clearance required on day 1

At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world.

Join us and help shape the future of aerospace and defense.

Role Overview :

BBN Technologies 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. 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.

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.

What You Will Do:

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 (SAR).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.

Qualifications You Must Have:

M.S. in Electrical Engineering, Mathematics, or…